Overview

Brought to you by YData

Dataset statistics

Number of variables785
Number of observations70000
Missing cells0
Missing cells (%)0.0%
Total size in memory52.4 MiB
Average record size in memory785.0 B

Variable types

Numeric785

Alerts

0 is highly skewed (γ1 = 155.9112035) Skewed
1 is highly skewed (γ1 = 97.41738359) Skewed
2 is highly skewed (γ1 = 119.7902465) Skewed
3 is highly skewed (γ1 = 47.47271252) Skewed
4 is highly skewed (γ1 = 30.95485508) Skewed
5 is highly skewed (γ1 = 23.78914333) Skewed
25 is highly skewed (γ1 = 27.47269884) Skewed
26 is highly skewed (γ1 = 42.29257473) Skewed
27 is highly skewed (γ1 = 102.4846798) Skewed
28 is highly skewed (γ1 = 142.1019761) Skewed
29 is highly skewed (γ1 = 89.28703017) Skewed
30 is highly skewed (γ1 = 46.43694879) Skewed
31 is highly skewed (γ1 = 27.05338538) Skewed
54 is highly skewed (γ1 = 22.33590296) Skewed
55 is highly skewed (γ1 = 49.67969444) Skewed
56 is highly skewed (γ1 = 97.19616294) Skewed
57 is highly skewed (γ1 = 52.63468071) Skewed
58 is highly skewed (γ1 = 28.80258213) Skewed
83 is highly skewed (γ1 = 26.08106091) Skewed
84 is highly skewed (γ1 = 60.64890573) Skewed
85 is highly skewed (γ1 = 32.24932316) Skewed
112 is highly skewed (γ1 = 36.88083803) Skewed
140 is highly skewed (γ1 = 25.54222119) Skewed
728 is highly skewed (γ1 = 23.54849192) Skewed
756 is highly skewed (γ1 = 62.11429713) Skewed
757 is highly skewed (γ1 = 29.55956076) Skewed
783 is highly skewed (γ1 = 43.58545173) Skewed
0 has 69985 (> 99.9%) zeros Zeros
1 has 69856 (99.8%) zeros Zeros
2 has 69153 (98.8%) zeros Zeros
3 has 68363 (97.7%) zeros Zeros
4 has 67526 (96.5%) zeros Zeros
5 has 66308 (94.7%) zeros Zeros
6 has 65285 (93.3%) zeros Zeros
7 has 62511 (89.3%) zeros Zeros
8 has 59282 (84.7%) zeros Zeros
9 has 52761 (75.4%) zeros Zeros
10 has 44491 (63.6%) zeros Zeros
11 has 38443 (54.9%) zeros Zeros
12 has 36279 (51.8%) zeros Zeros
13 has 36735 (52.5%) zeros Zeros
14 has 36748 (52.5%) zeros Zeros
15 has 35739 (51.1%) zeros Zeros
16 has 35931 (51.3%) zeros Zeros
17 has 41484 (59.3%) zeros Zeros
18 has 46910 (67.0%) zeros Zeros
19 has 54258 (77.5%) zeros Zeros
20 has 60176 (86.0%) zeros Zeros
21 has 63497 (90.7%) zeros Zeros
22 has 65064 (92.9%) zeros Zeros
23 has 66364 (94.8%) zeros Zeros
24 has 68240 (97.5%) zeros Zeros
25 has 69152 (98.8%) zeros Zeros
26 has 69664 (99.5%) zeros Zeros
27 has 69914 (99.9%) zeros Zeros
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29 has 69772 (99.7%) zeros Zeros
30 has 69160 (98.8%) zeros Zeros
31 has 66835 (95.5%) zeros Zeros
32 has 65937 (94.2%) zeros Zeros
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34 has 58467 (83.5%) zeros Zeros
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36 has 49270 (70.4%) zeros Zeros
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641 has 53640 (76.6%) zeros Zeros
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643 has 63829 (91.2%) zeros Zeros
644 has 65555 (93.7%) zeros Zeros
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646 has 60125 (85.9%) zeros Zeros
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648 has 43189 (61.7%) zeros Zeros
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650 has 36139 (51.6%) zeros Zeros
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655 has 16960 (24.2%) zeros Zeros
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657 has 20194 (28.8%) zeros Zeros
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660 has 19870 (28.4%) zeros Zeros
661 has 20539 (29.3%) zeros Zeros
662 has 22929 (32.8%) zeros Zeros
663 has 27053 (38.6%) zeros Zeros
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665 has 36030 (51.5%) zeros Zeros
666 has 37752 (53.9%) zeros Zeros
667 has 39668 (56.7%) zeros Zeros
668 has 47730 (68.2%) zeros Zeros
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670 has 60810 (86.9%) zeros Zeros
671 has 65671 (93.8%) zeros Zeros
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675 has 56297 (80.4%) zeros Zeros
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677 has 40790 (58.3%) zeros Zeros
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680 has 30608 (43.7%) zeros Zeros
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686 has 27125 (38.8%) zeros Zeros
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688 has 23395 (33.4%) zeros Zeros
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690 has 26095 (37.3%) zeros Zeros
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692 has 36009 (51.4%) zeros Zeros
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694 has 40560 (57.9%) zeros Zeros
695 has 42463 (60.7%) zeros Zeros
696 has 50456 (72.1%) zeros Zeros
697 has 59342 (84.8%) zeros Zeros
698 has 63158 (90.2%) zeros Zeros
699 has 67063 (95.8%) zeros Zeros
700 has 68417 (97.7%) zeros Zeros
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704 has 48352 (69.1%) zeros Zeros
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706 has 42019 (60.0%) zeros Zeros
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716 has 27454 (39.2%) zeros Zeros
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718 has 29547 (42.2%) zeros Zeros
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720 has 40049 (57.2%) zeros Zeros
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722 has 43118 (61.6%) zeros Zeros
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725 has 61818 (88.3%) zeros Zeros
726 has 65280 (93.3%) zeros Zeros
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728 has 69246 (98.9%) zeros Zeros
729 has 68232 (97.5%) zeros Zeros
730 has 66250 (94.6%) zeros Zeros
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732 has 51078 (73.0%) zeros Zeros
733 has 46422 (66.3%) zeros Zeros
734 has 44963 (64.2%) zeros Zeros
735 has 44462 (63.5%) zeros Zeros
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737 has 33922 (48.5%) zeros Zeros
738 has 30975 (44.2%) zeros Zeros
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740 has 29724 (42.5%) zeros Zeros
741 has 32332 (46.2%) zeros Zeros
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743 has 33060 (47.2%) zeros Zeros
744 has 31368 (44.8%) zeros Zeros
745 has 31436 (44.9%) zeros Zeros
746 has 33190 (47.4%) zeros Zeros
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748 has 44855 (64.1%) zeros Zeros
749 has 45269 (64.7%) zeros Zeros
750 has 45966 (65.7%) zeros Zeros
751 has 48038 (68.6%) zeros Zeros
752 has 55681 (79.5%) zeros Zeros
753 has 63985 (91.4%) zeros Zeros
754 has 66994 (95.7%) zeros Zeros
755 has 69081 (98.7%) zeros Zeros
756 has 69749 (99.6%) zeros Zeros
757 has 69332 (99.0%) zeros Zeros
758 has 68228 (97.5%) zeros Zeros
759 has 64376 (92.0%) zeros Zeros
760 has 57154 (81.6%) zeros Zeros
761 has 52912 (75.6%) zeros Zeros
762 has 52650 (75.2%) zeros Zeros
763 has 53581 (76.5%) zeros Zeros
764 has 50517 (72.2%) zeros Zeros
765 has 43517 (62.2%) zeros Zeros
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767 has 36301 (51.9%) zeros Zeros
768 has 36412 (52.0%) zeros Zeros
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770 has 41917 (59.9%) zeros Zeros
771 has 39779 (56.8%) zeros Zeros
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773 has 37986 (54.3%) zeros Zeros
774 has 41467 (59.2%) zeros Zeros
775 has 48162 (68.8%) zeros Zeros
776 has 54343 (77.6%) zeros Zeros
777 has 53642 (76.6%) zeros Zeros
778 has 52530 (75.0%) zeros Zeros
779 has 54012 (77.2%) zeros Zeros
780 has 60145 (85.9%) zeros Zeros
781 has 66589 (95.1%) zeros Zeros
782 has 68702 (98.1%) zeros Zeros
783 has 69734 (99.6%) zeros Zeros
label has 7000 (10.0%) zeros Zeros

Reproduction

Analysis started2025-03-23 07:18:21.172035
Analysis finished2025-03-23 07:18:30.594834
Duration9.42 seconds
Software versionydata-profiling vv4.15.1
Download configurationconfig.json

Variables

0
Real number (ℝ)

Skewed  Zeros 

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0007714285714
Minimum0
Maximum16
Zeros69985
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:30.895528image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08733891057
Coefficient of variation (CV)113.2171063
Kurtosis26177.85275
Mean0.0007714285714
Median Absolute Deviation (MAD)0
Skewness155.9112035
Sum54
Variance0.007628085299
MonotonicityNot monotonic
2025-03-23T12:48:31.008444image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 69985
> 99.9%
1 9
 
< 0.1%
2 2
 
< 0.1%
7 1
 
< 0.1%
16 1
 
< 0.1%
14 1
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
0 69985
> 99.9%
1 9
 
< 0.1%
2 2
 
< 0.1%
4 1
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
16 1
< 0.1%
14 1
< 0.1%
7 1
< 0.1%
4 1
< 0.1%
2 2
< 0.1%

1
Real number (ℝ)

Skewed  Zeros 

Distinct18
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006414285714
Minimum0
Maximum45
Zeros69856
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:31.107773image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum45
Range45
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2966047866
Coefficient of variation (CV)46.24128076
Kurtosis11979.6855
Mean0.006414285714
Median Absolute Deviation (MAD)0
Skewness97.41738359
Sum449
Variance0.08797439943
MonotonicityNot monotonic
2025-03-23T12:48:31.208874image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 69856
99.8%
1 88
 
0.1%
2 23
 
< 0.1%
3 11
 
< 0.1%
7 5
 
< 0.1%
4 2
 
< 0.1%
5 2
 
< 0.1%
13 2
 
< 0.1%
16 2
 
< 0.1%
15 1
 
< 0.1%
Other values (8) 8
 
< 0.1%
ValueCountFrequency (%)
0 69856
99.8%
1 88
 
0.1%
2 23
 
< 0.1%
3 11
 
< 0.1%
4 2
 
< 0.1%
ValueCountFrequency (%)
45 1
< 0.1%
36 1
< 0.1%
25 1
< 0.1%
16 2
< 0.1%
15 1
< 0.1%

2
Real number (ℝ)

Skewed  Zeros 

Distinct29
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03448571429
Minimum0
Maximum218
Zeros69153
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:31.325176image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum218
Range218
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.200881781
Coefficient of variation (CV)34.82258685
Kurtosis18264.18606
Mean0.03448571429
Median Absolute Deviation (MAD)0
Skewness119.7902465
Sum2414
Variance1.442117051
MonotonicityNot monotonic
2025-03-23T12:48:31.439750image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 69153
98.8%
1 510
 
0.7%
2 181
 
0.3%
3 87
 
0.1%
4 19
 
< 0.1%
5 10
 
< 0.1%
6 7
 
< 0.1%
7 5
 
< 0.1%
8 3
 
< 0.1%
13 3
 
< 0.1%
Other values (19) 22
 
< 0.1%
ValueCountFrequency (%)
0 69153
98.8%
1 510
 
0.7%
2 181
 
0.3%
3 87
 
0.1%
4 19
 
< 0.1%
ValueCountFrequency (%)
218 1
< 0.1%
119 1
< 0.1%
106 1
< 0.1%
78 1
< 0.1%
56 1
< 0.1%

3
Real number (ℝ)

Skewed  Zeros 

Distinct67
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09888571429
Minimum0
Maximum185
Zeros68363
Zeros (%)97.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:31.562259image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum185
Range185
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.458871864
Coefficient of variation (CV)24.86579464
Kurtosis2586.44184
Mean0.09888571429
Median Absolute Deviation (MAD)0
Skewness47.47271252
Sum6922
Variance6.046050845
MonotonicityNot monotonic
2025-03-23T12:48:31.710634image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68363
97.7%
1 1104
 
1.6%
2 291
 
0.4%
3 85
 
0.1%
4 26
 
< 0.1%
5 21
 
< 0.1%
6 10
 
< 0.1%
7 7
 
< 0.1%
13 5
 
< 0.1%
16 5
 
< 0.1%
Other values (57) 83
 
0.1%
ValueCountFrequency (%)
0 68363
97.7%
1 1104
 
1.6%
2 291
 
0.4%
3 85
 
0.1%
4 26
 
< 0.1%
ValueCountFrequency (%)
185 1
< 0.1%
164 1
< 0.1%
156 1
< 0.1%
150 1
< 0.1%
146 2
< 0.1%

4
Real number (ℝ)

Skewed  Zeros 

Distinct111
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2478428571
Minimum0
Maximum227
Zeros67526
Zeros (%)96.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:31.857235image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum227
Range227
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.408110392
Coefficient of variation (CV)17.78590855
Kurtosis1145.967732
Mean0.2478428571
Median Absolute Deviation (MAD)0
Skewness30.95485508
Sum17349
Variance19.43143722
MonotonicityNot monotonic
2025-03-23T12:48:31.995569image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67526
96.5%
1 1621
 
2.3%
2 354
 
0.5%
3 98
 
0.1%
4 43
 
0.1%
5 28
 
< 0.1%
15 23
 
< 0.1%
6 23
 
< 0.1%
9 18
 
< 0.1%
17 11
 
< 0.1%
Other values (101) 255
 
0.4%
ValueCountFrequency (%)
0 67526
96.5%
1 1621
 
2.3%
2 354
 
0.5%
3 98
 
0.1%
4 43
 
0.1%
ValueCountFrequency (%)
227 2
< 0.1%
224 1
< 0.1%
217 1
< 0.1%
210 1
< 0.1%
201 1
< 0.1%

5
Real number (ℝ)

Skewed  Zeros 

Distinct150
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4087142857
Minimum0
Maximum230
Zeros66308
Zeros (%)94.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:32.144693image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum230
Range230
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.842287733
Coefficient of variation (CV)14.29430763
Kurtosis658.1417736
Mean0.4087142857
Median Absolute Deviation (MAD)0
Skewness23.78914333
Sum28610
Variance34.13232595
MonotonicityNot monotonic
2025-03-23T12:48:32.311444image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66308
94.7%
1 2046
 
2.9%
2 689
 
1.0%
3 287
 
0.4%
4 120
 
0.2%
5 68
 
0.1%
6 40
 
0.1%
8 22
 
< 0.1%
15 20
 
< 0.1%
9 18
 
< 0.1%
Other values (140) 382
 
0.5%
ValueCountFrequency (%)
0 66308
94.7%
1 2046
 
2.9%
2 689
 
1.0%
3 287
 
0.4%
4 120
 
0.2%
ValueCountFrequency (%)
230 1
< 0.1%
229 1
< 0.1%
226 1
< 0.1%
223 1
< 0.1%
213 1
< 0.1%

6
Real number (ℝ)

Zeros 

Distinct179
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8029
Minimum0
Maximum224
Zeros65285
Zeros (%)93.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:32.474146image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum224
Range224
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.186471968
Coefficient of variation (CV)10.19612899
Kurtosis275.7792358
Mean0.8029
Median Absolute Deviation (MAD)0
Skewness15.40794154
Sum56203
Variance67.01832328
MonotonicityNot monotonic
2025-03-23T12:48:32.640886image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65285
93.3%
1 2260
 
3.2%
2 779
 
1.1%
3 397
 
0.6%
4 176
 
0.3%
5 89
 
0.1%
6 54
 
0.1%
7 45
 
0.1%
15 33
 
< 0.1%
17 31
 
< 0.1%
Other values (169) 851
 
1.2%
ValueCountFrequency (%)
0 65285
93.3%
1 2260
 
3.2%
2 779
 
1.1%
3 397
 
0.6%
4 176
 
0.3%
ValueCountFrequency (%)
224 1
< 0.1%
221 1
< 0.1%
219 1
< 0.1%
213 2
< 0.1%
211 1
< 0.1%

7
Real number (ℝ)

Zeros 

Distinct211
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.204385714
Minimum0
Maximum225
Zeros62511
Zeros (%)89.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:32.775133image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum225
Range225
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.11720842
Coefficient of variation (CV)6.404146211
Kurtosis88.97086231
Mean2.204385714
Median Absolute Deviation (MAD)0
Skewness8.821443638
Sum154307
Variance199.2955736
MonotonicityNot monotonic
2025-03-23T12:48:32.921801image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62511
89.3%
1 2768
 
4.0%
2 1220
 
1.7%
3 534
 
0.8%
4 242
 
0.3%
5 143
 
0.2%
6 114
 
0.2%
7 69
 
0.1%
9 64
 
0.1%
15 56
 
0.1%
Other values (201) 2279
 
3.3%
ValueCountFrequency (%)
0 62511
89.3%
1 2768
 
4.0%
2 1220
 
1.7%
3 534
 
0.8%
4 242
 
0.3%
ValueCountFrequency (%)
225 1
< 0.1%
221 2
< 0.1%
219 2
< 0.1%
218 2
< 0.1%
216 2
< 0.1%

8
Real number (ℝ)

Zeros 

Distinct237
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.6349
Minimum0
Maximum254
Zeros59282
Zeros (%)84.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:33.060903image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile39
Maximum254
Range254
Interquartile range (IQR)0

Descriptive statistics

Standard deviation23.69886488
Coefficient of variation (CV)4.205729451
Kurtosis31.30144896
Mean5.6349
Median Absolute Deviation (MAD)0
Skewness5.337697156
Sum394443
Variance561.6361968
MonotonicityNot monotonic
2025-03-23T12:48:33.208103image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59282
84.7%
1 2618
 
3.7%
2 1267
 
1.8%
3 609
 
0.9%
4 293
 
0.4%
5 178
 
0.3%
6 158
 
0.2%
8 98
 
0.1%
9 92
 
0.1%
7 87
 
0.1%
Other values (227) 5318
 
7.6%
ValueCountFrequency (%)
0 59282
84.7%
1 2618
 
3.7%
2 1267
 
1.8%
3 609
 
0.9%
4 293
 
0.4%
ValueCountFrequency (%)
254 1
 
< 0.1%
244 1
 
< 0.1%
243 2
< 0.1%
242 2
< 0.1%
237 3
< 0.1%

9
Real number (ℝ)

Zeros 

Distinct254
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.41
Minimum0
Maximum255
Zeros52761
Zeros (%)75.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:33.355072image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile110
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation38.18827033
Coefficient of variation (CV)2.650122854
Kurtosis9.5884045
Mean14.41
Median Absolute Deviation (MAD)0
Skewness3.104467835
Sum1008700
Variance1458.343991
MonotonicityNot monotonic
2025-03-23T12:48:33.493134image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 52761
75.4%
1 1880
 
2.7%
2 1059
 
1.5%
3 563
 
0.8%
4 336
 
0.5%
5 249
 
0.4%
6 212
 
0.3%
8 177
 
0.3%
7 156
 
0.2%
17 152
 
0.2%
Other values (244) 12455
 
17.8%
ValueCountFrequency (%)
0 52761
75.4%
1 1880
 
2.7%
2 1059
 
1.5%
3 563
 
0.8%
4 336
 
0.5%
ValueCountFrequency (%)
255 5
< 0.1%
253 1
 
< 0.1%
252 3
< 0.1%
251 1
 
< 0.1%
250 1
 
< 0.1%

10
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.90685714
Minimum0
Maximum255
Zeros44491
Zeros (%)63.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:33.641977image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q349
95-th percentile166
Maximum255
Range255
Interquartile range (IQR)49

Descriptive statistics

Standard deviation57.74967282
Coefficient of variation (CV)1.754943432
Kurtosis1.697889569
Mean32.90685714
Median Absolute Deviation (MAD)0
Skewness1.683250673
Sum2303480
Variance3335.02471
MonotonicityNot monotonic
2025-03-23T12:48:33.788105image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 44491
63.6%
1 859
 
1.2%
2 620
 
0.9%
3 450
 
0.6%
4 302
 
0.4%
5 236
 
0.3%
6 177
 
0.3%
16 156
 
0.2%
120 153
 
0.2%
10 153
 
0.2%
Other values (246) 22403
32.0%
ValueCountFrequency (%)
0 44491
63.6%
1 859
 
1.2%
2 620
 
0.9%
3 450
 
0.6%
4 302
 
0.4%
ValueCountFrequency (%)
255 24
< 0.1%
254 17
< 0.1%
253 6
 
< 0.1%
252 5
 
< 0.1%
251 4
 
< 0.1%

11
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.81697143
Minimum0
Maximum255
Zeros38443
Zeros (%)54.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:33.926511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q391
95-th percentile185
Maximum255
Range255
Interquartile range (IQR)91

Descriptive statistics

Standard deviation66.04145414
Coefficient of variation (CV)1.441419022
Kurtosis0.1067018639
Mean45.81697143
Median Absolute Deviation (MAD)0
Skewness1.194499119
Sum3207188
Variance4361.473664
MonotonicityNot monotonic
2025-03-23T12:48:34.074013image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 38443
54.9%
1 588
 
0.8%
2 437
 
0.6%
3 366
 
0.5%
5 235
 
0.3%
4 231
 
0.3%
103 198
 
0.3%
119 198
 
0.3%
123 195
 
0.3%
6 188
 
0.3%
Other values (246) 28921
41.3%
ValueCountFrequency (%)
0 38443
54.9%
1 588
 
0.8%
2 437
 
0.6%
3 366
 
0.5%
4 231
 
0.3%
ValueCountFrequency (%)
255 61
0.1%
254 15
 
< 0.1%
253 5
 
< 0.1%
252 4
 
< 0.1%
251 7
 
< 0.1%

12
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.05622857
Minimum0
Maximum255
Zeros36279
Zeros (%)51.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:34.220724image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3105
95-th percentile191
Maximum255
Range255
Interquartile range (IQR)105

Descriptive statistics

Standard deviation68.6581439
Coefficient of variation (CV)1.318922745
Kurtosis-0.3538629922
Mean52.05622857
Median Absolute Deviation (MAD)0
Skewness0.9958934502
Sum3643936
Variance4713.940723
MonotonicityNot monotonic
2025-03-23T12:48:34.359766image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36279
51.8%
1 403
 
0.6%
2 302
 
0.4%
115 238
 
0.3%
118 236
 
0.3%
3 236
 
0.3%
114 231
 
0.3%
111 227
 
0.3%
128 223
 
0.3%
92 221
 
0.3%
Other values (246) 31404
44.9%
ValueCountFrequency (%)
0 36279
51.8%
1 403
 
0.6%
2 302
 
0.4%
3 236
 
0.3%
4 191
 
0.3%
ValueCountFrequency (%)
255 55
0.1%
254 13
 
< 0.1%
253 7
 
< 0.1%
252 7
 
< 0.1%
251 9
 
< 0.1%

13
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.78531429
Minimum0
Maximum255
Zeros36735
Zeros (%)52.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:34.508849image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3103
95-th percentile190
Maximum255
Range255
Interquartile range (IQR)103

Descriptive statistics

Standard deviation67.96868559
Coefficient of variation (CV)1.338353155
Kurtosis-0.2871365592
Mean50.78531429
Median Absolute Deviation (MAD)0
Skewness1.026203616
Sum3554972
Variance4619.742221
MonotonicityNot monotonic
2025-03-23T12:48:34.659761image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36735
52.5%
1 468
 
0.7%
2 332
 
0.5%
3 233
 
0.3%
105 232
 
0.3%
126 227
 
0.3%
117 225
 
0.3%
111 218
 
0.3%
122 217
 
0.3%
107 214
 
0.3%
Other values (246) 30899
44.1%
ValueCountFrequency (%)
0 36735
52.5%
1 468
 
0.7%
2 332
 
0.5%
3 233
 
0.3%
4 178
 
0.3%
ValueCountFrequency (%)
255 30
< 0.1%
254 5
 
< 0.1%
253 4
 
< 0.1%
252 3
 
< 0.1%
251 6
 
< 0.1%

14
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.44617143
Minimum0
Maximum255
Zeros36748
Zeros (%)52.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:34.792085image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3102
95-th percentile188
Maximum255
Range255
Interquartile range (IQR)102

Descriptive statistics

Standard deviation67.4377924
Coefficient of variation (CV)1.33682677
Kurtosis-0.2666535004
Mean50.44617143
Median Absolute Deviation (MAD)0
Skewness1.028764697
Sum3531232
Variance4547.855843
MonotonicityNot monotonic
2025-03-23T12:48:34.938722image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36748
52.5%
1 499
 
0.7%
2 323
 
0.5%
115 236
 
0.3%
3 226
 
0.3%
110 224
 
0.3%
102 223
 
0.3%
105 221
 
0.3%
113 219
 
0.3%
126 218
 
0.3%
Other values (246) 30863
44.1%
ValueCountFrequency (%)
0 36748
52.5%
1 499
 
0.7%
2 323
 
0.5%
3 226
 
0.3%
4 178
 
0.3%
ValueCountFrequency (%)
255 59
0.1%
254 17
 
< 0.1%
253 3
 
< 0.1%
252 3
 
< 0.1%
251 7
 
< 0.1%

15
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.79234286
Minimum0
Maximum255
Zeros35739
Zeros (%)51.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:35.090109image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3109
95-th percentile193
Maximum255
Range255
Interquartile range (IQR)109

Descriptive statistics

Standard deviation69.53568136
Coefficient of variation (CV)1.292668764
Kurtosis-0.4514731893
Mean53.79234286
Median Absolute Deviation (MAD)0
Skewness0.9501876592
Sum3765464
Variance4835.210982
MonotonicityNot monotonic
2025-03-23T12:48:35.239960image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35739
51.1%
1 383
 
0.5%
2 287
 
0.4%
112 242
 
0.3%
122 230
 
0.3%
3 227
 
0.3%
128 223
 
0.3%
120 222
 
0.3%
106 220
 
0.3%
135 218
 
0.3%
Other values (246) 32009
45.7%
ValueCountFrequency (%)
0 35739
51.1%
1 383
 
0.5%
2 287
 
0.4%
3 227
 
0.3%
4 173
 
0.2%
ValueCountFrequency (%)
255 56
0.1%
254 12
 
< 0.1%
253 5
 
< 0.1%
252 4
 
< 0.1%
251 10
 
< 0.1%

16
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.42358571
Minimum0
Maximum255
Zeros35931
Zeros (%)51.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:35.387519image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3103
95-th percentile190
Maximum255
Range255
Interquartile range (IQR)103

Descriptive statistics

Standard deviation67.96211614
Coefficient of variation (CV)1.321613715
Kurtosis-0.2913385651
Mean51.42358571
Median Absolute Deviation (MAD)0
Skewness1.017173389
Sum3599651
Variance4618.84923
MonotonicityNot monotonic
2025-03-23T12:48:35.526094image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35931
51.3%
1 354
 
0.5%
2 259
 
0.4%
116 233
 
0.3%
3 221
 
0.3%
99 220
 
0.3%
105 215
 
0.3%
121 214
 
0.3%
112 214
 
0.3%
117 213
 
0.3%
Other values (246) 31926
45.6%
ValueCountFrequency (%)
0 35931
51.3%
1 354
 
0.5%
2 259
 
0.4%
3 221
 
0.3%
4 190
 
0.3%
ValueCountFrequency (%)
255 57
0.1%
254 14
 
< 0.1%
253 4
 
< 0.1%
252 5
 
< 0.1%
251 7
 
< 0.1%

17
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.55074286
Minimum0
Maximum255
Zeros41484
Zeros (%)59.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:35.672470image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q377
95-th percentile177
Maximum255
Range255
Interquartile range (IQR)77

Descriptive statistics

Standard deviation62.80307886
Coefficient of variation (CV)1.548752857
Kurtosis0.5386868899
Mean40.55074286
Median Absolute Deviation (MAD)0
Skewness1.348551436
Sum2838552
Variance3944.226714
MonotonicityNot monotonic
2025-03-23T12:48:35.820635image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 41484
59.3%
1 550
 
0.8%
2 388
 
0.6%
3 313
 
0.4%
4 246
 
0.4%
5 206
 
0.3%
114 192
 
0.3%
130 183
 
0.3%
111 179
 
0.3%
115 178
 
0.3%
Other values (246) 26081
37.3%
ValueCountFrequency (%)
0 41484
59.3%
1 550
 
0.8%
2 388
 
0.6%
3 313
 
0.4%
4 246
 
0.4%
ValueCountFrequency (%)
255 34
< 0.1%
254 8
 
< 0.1%
253 8
 
< 0.1%
252 8
 
< 0.1%
251 6
 
< 0.1%

18
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.03595714
Minimum0
Maximum255
Zeros46910
Zeros (%)67.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:35.957952image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q320
95-th percentile151
Maximum255
Range255
Interquartile range (IQR)20

Descriptive statistics

Standard deviation51.68641711
Coefficient of variation (CV)1.985193662
Kurtosis3.259542491
Mean26.03595714
Median Absolute Deviation (MAD)0
Skewness2.048731441
Sum1822517
Variance2671.485714
MonotonicityNot monotonic
2025-03-23T12:48:36.422348image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46910
67.0%
1 1337
 
1.9%
2 870
 
1.2%
3 596
 
0.9%
4 363
 
0.5%
5 234
 
0.3%
6 195
 
0.3%
15 172
 
0.2%
24 164
 
0.2%
8 163
 
0.2%
Other values (246) 18996
27.1%
ValueCountFrequency (%)
0 46910
67.0%
1 1337
 
1.9%
2 870
 
1.2%
3 596
 
0.9%
4 363
 
0.5%
ValueCountFrequency (%)
255 23
< 0.1%
254 6
 
< 0.1%
253 1
 
< 0.1%
252 5
 
< 0.1%
251 5
 
< 0.1%

19
Real number (ℝ)

Zeros 

Distinct249
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.35482857
Minimum0
Maximum255
Zeros54258
Zeros (%)77.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:36.569123image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile82
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation32.49753988
Coefficient of variation (CV)3.138394774
Kurtosis15.55068813
Mean10.35482857
Median Absolute Deviation (MAD)0
Skewness3.852430718
Sum724838
Variance1056.090098
MonotonicityNot monotonic
2025-03-23T12:48:36.723273image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54258
77.5%
1 2627
 
3.8%
2 1552
 
2.2%
3 852
 
1.2%
4 433
 
0.6%
5 260
 
0.4%
6 192
 
0.3%
7 167
 
0.2%
8 152
 
0.2%
14 145
 
0.2%
Other values (239) 9362
 
13.4%
ValueCountFrequency (%)
0 54258
77.5%
1 2627
 
3.8%
2 1552
 
2.2%
3 852
 
1.2%
4 433
 
0.6%
ValueCountFrequency (%)
255 10
< 0.1%
253 4
 
< 0.1%
252 1
 
< 0.1%
251 1
 
< 0.1%
250 1
 
< 0.1%

20
Real number (ℝ)

Zeros 

Distinct232
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.070857143
Minimum0
Maximum251
Zeros60176
Zeros (%)86.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:36.870567image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile15
Maximum251
Range251
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.08972735
Coefficient of variation (CV)4.935011631
Kurtosis46.4596209
Mean4.070857143
Median Absolute Deviation (MAD)0
Skewness6.445429859
Sum284960
Variance403.5971449
MonotonicityNot monotonic
2025-03-23T12:48:37.037791image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60176
86.0%
1 2923
 
4.2%
2 1415
 
2.0%
3 685
 
1.0%
4 335
 
0.5%
5 206
 
0.3%
6 131
 
0.2%
7 103
 
0.1%
15 79
 
0.1%
9 76
 
0.1%
Other values (222) 3871
 
5.5%
ValueCountFrequency (%)
0 60176
86.0%
1 2923
 
4.2%
2 1415
 
2.0%
3 685
 
1.0%
4 335
 
0.5%
ValueCountFrequency (%)
251 1
< 0.1%
249 2
< 0.1%
245 1
< 0.1%
243 2
< 0.1%
241 1
< 0.1%

21
Real number (ℝ)

Zeros 

Distinct220
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.940857143
Minimum0
Maximum255
Zeros63497
Zeros (%)90.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:37.202031image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.88769343
Coefficient of variation (CV)7.155443398
Kurtosis107.6243622
Mean1.940857143
Median Absolute Deviation (MAD)0
Skewness9.702675341
Sum135860
Variance192.8680288
MonotonicityNot monotonic
2025-03-23T12:48:37.358379image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63497
90.7%
1 2676
 
3.8%
2 1029
 
1.5%
3 443
 
0.6%
4 232
 
0.3%
5 114
 
0.2%
6 79
 
0.1%
7 43
 
0.1%
15 40
 
0.1%
9 39
 
0.1%
Other values (210) 1808
 
2.6%
ValueCountFrequency (%)
0 63497
90.7%
1 2676
 
3.8%
2 1029
 
1.5%
3 443
 
0.6%
4 232
 
0.3%
ValueCountFrequency (%)
255 1
< 0.1%
242 1
< 0.1%
240 1
< 0.1%
238 2
< 0.1%
234 1
< 0.1%

22
Real number (ℝ)

Zeros 

Distinct204
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.163014286
Minimum0
Maximum233
Zeros65064
Zeros (%)92.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:37.542322image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum233
Range233
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.64563369
Coefficient of variation (CV)9.153484893
Kurtosis168.3835694
Mean1.163014286
Median Absolute Deviation (MAD)0
Skewness12.23447358
Sum81411
Variance113.3295168
MonotonicityNot monotonic
2025-03-23T12:48:37.688180image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65064
92.9%
1 2487
 
3.6%
2 810
 
1.2%
3 282
 
0.4%
4 131
 
0.2%
5 74
 
0.1%
6 47
 
0.1%
7 23
 
< 0.1%
15 23
 
< 0.1%
16 22
 
< 0.1%
Other values (194) 1037
 
1.5%
ValueCountFrequency (%)
0 65064
92.9%
1 2487
 
3.6%
2 810
 
1.2%
3 282
 
0.4%
4 131
 
0.2%
ValueCountFrequency (%)
233 1
< 0.1%
222 1
< 0.1%
220 1
< 0.1%
216 1
< 0.1%
213 1
< 0.1%

23
Real number (ℝ)

Zeros 

Distinct200
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8442142857
Minimum0
Maximum232
Zeros66364
Zeros (%)94.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:37.856637image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum232
Range232
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.212681501
Coefficient of variation (CV)10.91272874
Kurtosis242.5822784
Mean0.8442142857
Median Absolute Deviation (MAD)0
Skewness14.65293353
Sum59095
Variance84.87350043
MonotonicityNot monotonic
2025-03-23T12:48:38.019884image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66364
94.8%
1 2034
 
2.9%
2 499
 
0.7%
3 163
 
0.2%
4 72
 
0.1%
5 39
 
0.1%
6 28
 
< 0.1%
15 19
 
< 0.1%
14 18
 
< 0.1%
9 18
 
< 0.1%
Other values (190) 746
 
1.1%
ValueCountFrequency (%)
0 66364
94.8%
1 2034
 
2.9%
2 499
 
0.7%
3 163
 
0.2%
4 72
 
0.1%
ValueCountFrequency (%)
232 1
< 0.1%
220 1
< 0.1%
217 2
< 0.1%
214 1
< 0.1%
213 1
< 0.1%

24
Real number (ℝ)

Zeros 

Distinct167
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4714
Minimum0
Maximum239
Zeros68240
Zeros (%)97.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:38.220300image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum239
Range239
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.945873377
Coefficient of variation (CV)14.7345638
Kurtosis437.9460275
Mean0.4714
Median Absolute Deviation (MAD)0
Skewness19.63735843
Sum32998
Variance48.24515697
MonotonicityNot monotonic
2025-03-23T12:48:38.386264image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68240
97.5%
1 908
 
1.3%
2 235
 
0.3%
3 95
 
0.1%
4 32
 
< 0.1%
5 23
 
< 0.1%
6 14
 
< 0.1%
8 11
 
< 0.1%
12 11
 
< 0.1%
7 10
 
< 0.1%
Other values (157) 421
 
0.6%
ValueCountFrequency (%)
0 68240
97.5%
1 908
 
1.3%
2 235
 
0.3%
3 95
 
0.1%
4 32
 
< 0.1%
ValueCountFrequency (%)
239 1
< 0.1%
232 1
< 0.1%
224 1
< 0.1%
212 1
< 0.1%
205 1
< 0.1%

25
Real number (ℝ)

Skewed  Zeros 

Distinct130
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2561
Minimum0
Maximum255
Zeros69152
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:38.543938image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.181716133
Coefficient of variation (CV)20.23317506
Kurtosis874.2539579
Mean0.2561
Median Absolute Deviation (MAD)0
Skewness27.47269884
Sum17927
Variance26.85018208
MonotonicityNot monotonic
2025-03-23T12:48:38.702862image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69152
98.8%
1 386
 
0.6%
2 104
 
0.1%
3 50
 
0.1%
4 27
 
< 0.1%
5 23
 
< 0.1%
6 9
 
< 0.1%
13 7
 
< 0.1%
7 6
 
< 0.1%
26 6
 
< 0.1%
Other values (120) 230
 
0.3%
ValueCountFrequency (%)
0 69152
98.8%
1 386
 
0.6%
2 104
 
0.1%
3 50
 
0.1%
4 27
 
< 0.1%
ValueCountFrequency (%)
255 2
< 0.1%
217 1
< 0.1%
212 1
< 0.1%
204 1
< 0.1%
201 1
< 0.1%

26
Real number (ℝ)

Skewed  Zeros 

Distinct78
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09264285714
Minimum0
Maximum185
Zeros69664
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:38.869317image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum185
Range185
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.865151255
Coefficient of variation (CV)30.9268447
Kurtosis2048.633888
Mean0.09264285714
Median Absolute Deviation (MAD)0
Skewness42.29257473
Sum6485
Variance8.209091717
MonotonicityNot monotonic
2025-03-23T12:48:39.035347image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69664
99.5%
1 120
 
0.2%
2 57
 
0.1%
3 23
 
< 0.1%
4 14
 
< 0.1%
5 12
 
< 0.1%
6 7
 
< 0.1%
8 6
 
< 0.1%
15 4
 
< 0.1%
16 4
 
< 0.1%
Other values (68) 89
 
0.1%
ValueCountFrequency (%)
0 69664
99.5%
1 120
 
0.2%
2 57
 
0.1%
3 23
 
< 0.1%
4 14
 
< 0.1%
ValueCountFrequency (%)
185 1
< 0.1%
180 1
< 0.1%
173 1
< 0.1%
170 1
< 0.1%
165 1
< 0.1%

27
Real number (ℝ)

Skewed  Zeros 

Distinct25
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01812857143
Minimum0
Maximum189
Zeros69914
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:39.173061image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum189
Range189
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.291873854
Coefficient of variation (CV)71.2617571
Kurtosis11838.26469
Mean0.01812857143
Median Absolute Deviation (MAD)0
Skewness102.4846798
Sum1269
Variance1.668938054
MonotonicityNot monotonic
2025-03-23T12:48:39.285450image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 69914
99.9%
1 36
 
0.1%
2 14
 
< 0.1%
3 6
 
< 0.1%
4 5
 
< 0.1%
5 3
 
< 0.1%
23 2
 
< 0.1%
27 2
 
< 0.1%
6 2
 
< 0.1%
79 1
 
< 0.1%
Other values (15) 15
 
< 0.1%
ValueCountFrequency (%)
0 69914
99.9%
1 36
 
0.1%
2 14
 
< 0.1%
3 6
 
< 0.1%
4 5
 
< 0.1%
ValueCountFrequency (%)
189 1
< 0.1%
140 1
< 0.1%
128 1
< 0.1%
121 1
< 0.1%
93 1
< 0.1%

28
Real number (ℝ)

Skewed  Zeros 

Distinct19
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.007014285714
Minimum0
Maximum105
Zeros69926
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:39.418610image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum105
Range105
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5409495436
Coefficient of variation (CV)77.1211162
Kurtosis24066.03252
Mean0.007014285714
Median Absolute Deviation (MAD)0
Skewness142.1019761
Sum491
Variance0.2926264087
MonotonicityNot monotonic
2025-03-23T12:48:39.534827image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 69926
99.9%
1 36
 
0.1%
2 11
 
< 0.1%
4 6
 
< 0.1%
3 4
 
< 0.1%
5 4
 
< 0.1%
19 1
 
< 0.1%
34 1
 
< 0.1%
13 1
 
< 0.1%
14 1
 
< 0.1%
Other values (9) 9
 
< 0.1%
ValueCountFrequency (%)
0 69926
99.9%
1 36
 
0.1%
2 11
 
< 0.1%
3 4
 
< 0.1%
4 6
 
< 0.1%
ValueCountFrequency (%)
105 1
< 0.1%
66 1
< 0.1%
34 1
< 0.1%
33 1
< 0.1%
30 1
< 0.1%

29
Real number (ℝ)

Skewed  Zeros 

Distinct33
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0248
Minimum0
Maximum167
Zeros69772
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:39.652942image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum167
Range167
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.314668212
Coefficient of variation (CV)53.010815
Kurtosis9031.610089
Mean0.0248
Median Absolute Deviation (MAD)0
Skewness89.28703017
Sum1736
Variance1.728352508
MonotonicityNot monotonic
2025-03-23T12:48:39.784965image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 69772
99.7%
1 113
 
0.2%
2 41
 
0.1%
3 21
 
< 0.1%
4 11
 
< 0.1%
7 4
 
< 0.1%
15 4
 
< 0.1%
6 3
 
< 0.1%
8 2
 
< 0.1%
16 2
 
< 0.1%
Other values (23) 27
 
< 0.1%
ValueCountFrequency (%)
0 69772
99.7%
1 113
 
0.2%
2 41
 
0.1%
3 21
 
< 0.1%
4 11
 
< 0.1%
ValueCountFrequency (%)
167 1
< 0.1%
133 1
< 0.1%
132 1
< 0.1%
131 1
< 0.1%
97 1
< 0.1%

30
Real number (ℝ)

Skewed  Zeros 

Distinct74
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1066857143
Minimum0
Maximum248
Zeros69160
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:39.950946image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum248
Range248
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.222593579
Coefficient of variation (CV)30.2064208
Kurtosis2495.388882
Mean0.1066857143
Median Absolute Deviation (MAD)0
Skewness46.43694879
Sum7468
Variance10.38510937
MonotonicityNot monotonic
2025-03-23T12:48:40.118162image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69160
98.8%
1 482
 
0.7%
2 140
 
0.2%
3 59
 
0.1%
4 34
 
< 0.1%
5 16
 
< 0.1%
6 10
 
< 0.1%
7 8
 
< 0.1%
9 4
 
< 0.1%
13 4
 
< 0.1%
Other values (64) 83
 
0.1%
ValueCountFrequency (%)
0 69160
98.8%
1 482
 
0.7%
2 140
 
0.2%
3 59
 
0.1%
4 34
 
< 0.1%
ValueCountFrequency (%)
248 1
< 0.1%
219 1
< 0.1%
212 1
< 0.1%
205 1
< 0.1%
195 1
< 0.1%

31
Real number (ℝ)

Skewed  Zeros 

Distinct143
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3546714286
Minimum0
Maximum255
Zeros66835
Zeros (%)95.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:40.268300image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.389429214
Coefficient of variation (CV)18.01506606
Kurtosis808.9365033
Mean0.3546714286
Median Absolute Deviation (MAD)0
Skewness27.05338538
Sum24827
Variance40.82480567
MonotonicityNot monotonic
2025-03-23T12:48:40.421887image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66835
95.5%
1 1831
 
2.6%
2 657
 
0.9%
3 265
 
0.4%
4 99
 
0.1%
5 49
 
0.1%
6 23
 
< 0.1%
7 11
 
< 0.1%
9 6
 
< 0.1%
8 6
 
< 0.1%
Other values (133) 218
 
0.3%
ValueCountFrequency (%)
0 66835
95.5%
1 1831
 
2.6%
2 657
 
0.9%
3 265
 
0.4%
4 99
 
0.1%
ValueCountFrequency (%)
255 3
< 0.1%
247 1
 
< 0.1%
241 1
 
< 0.1%
236 1
 
< 0.1%
235 2
< 0.1%

32
Real number (ℝ)

Zeros 

Distinct198
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7669714286
Minimum0
Maximum255
Zeros65937
Zeros (%)94.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:40.567601image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.815006857
Coefficient of variation (CV)12.79709581
Kurtosis354.0404668
Mean0.7669714286
Median Absolute Deviation (MAD)0
Skewness17.86978036
Sum53688
Variance96.3343596
MonotonicityNot monotonic
2025-03-23T12:48:40.733621image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65937
94.2%
1 2187
 
3.1%
2 787
 
1.1%
3 272
 
0.4%
4 101
 
0.1%
5 61
 
0.1%
15 24
 
< 0.1%
6 24
 
< 0.1%
9 24
 
< 0.1%
14 20
 
< 0.1%
Other values (188) 563
 
0.8%
ValueCountFrequency (%)
0 65937
94.2%
1 2187
 
3.1%
2 787
 
1.1%
3 272
 
0.4%
4 101
 
0.1%
ValueCountFrequency (%)
255 8
< 0.1%
253 2
 
< 0.1%
251 1
 
< 0.1%
250 1
 
< 0.1%
247 2
 
< 0.1%

33
Real number (ℝ)

Zeros 

Distinct247
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.074857143
Minimum0
Maximum255
Zeros64481
Zeros (%)92.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:40.900837image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.85045425
Coefficient of variation (CV)7.639299072
Kurtosis115.9451445
Mean2.074857143
Median Absolute Deviation (MAD)0
Skewness10.18883513
Sum145240
Variance251.2368998
MonotonicityNot monotonic
2025-03-23T12:48:41.071626image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64481
92.1%
1 2099
 
3.0%
2 819
 
1.2%
3 334
 
0.5%
4 188
 
0.3%
5 100
 
0.1%
6 78
 
0.1%
7 60
 
0.1%
15 41
 
0.1%
9 38
 
0.1%
Other values (237) 1762
 
2.5%
ValueCountFrequency (%)
0 64481
92.1%
1 2099
 
3.0%
2 819
 
1.2%
3 334
 
0.5%
4 188
 
0.3%
ValueCountFrequency (%)
255 7
< 0.1%
254 1
 
< 0.1%
253 1
 
< 0.1%
252 1
 
< 0.1%
251 3
< 0.1%

34
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.264342857
Minimum0
Maximum255
Zeros58467
Zeros (%)83.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:41.320195image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile50
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation30.00243294
Coefficient of variation (CV)4.130095939
Kurtosis28.66993195
Mean7.264342857
Median Absolute Deviation (MAD)0
Skewness5.168191827
Sum508504
Variance900.1459821
MonotonicityNot monotonic
2025-03-23T12:48:41.481837image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 58467
83.5%
1 2374
 
3.4%
2 1348
 
1.9%
3 880
 
1.3%
4 508
 
0.7%
5 278
 
0.4%
6 150
 
0.2%
7 140
 
0.2%
9 98
 
0.1%
8 85
 
0.1%
Other values (246) 5672
 
8.1%
ValueCountFrequency (%)
0 58467
83.5%
1 2374
 
3.4%
2 1348
 
1.9%
3 880
 
1.3%
4 508
 
0.7%
ValueCountFrequency (%)
255 56
0.1%
254 8
 
< 0.1%
253 1
 
< 0.1%
252 5
 
< 0.1%
251 6
 
< 0.1%

35
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.3702
Minimum0
Maximum255
Zeros53746
Zeros (%)76.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:41.635304image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile141
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation47.89190899
Coefficient of variation (CV)2.757130545
Kurtosis8.868271609
Mean17.3702
Median Absolute Deviation (MAD)0
Skewness3.069816526
Sum1215914
Variance2293.634947
MonotonicityNot monotonic
2025-03-23T12:48:42.101428image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53746
76.8%
1 1882
 
2.7%
2 1162
 
1.7%
3 718
 
1.0%
4 504
 
0.7%
5 327
 
0.5%
6 235
 
0.3%
255 135
 
0.2%
7 132
 
0.2%
9 105
 
0.1%
Other values (246) 11054
 
15.8%
ValueCountFrequency (%)
0 53746
76.8%
1 1882
 
2.7%
2 1162
 
1.7%
3 718
 
1.0%
4 504
 
0.7%
ValueCountFrequency (%)
255 135
0.2%
254 31
 
< 0.1%
253 15
 
< 0.1%
252 15
 
< 0.1%
251 13
 
< 0.1%

36
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.94012857
Minimum0
Maximum255
Zeros49270
Zeros (%)70.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:42.269963image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38
95-th percentile200
Maximum255
Range255
Interquartile range (IQR)8

Descriptive statistics

Standard deviation65.5248744
Coefficient of variation (CV)2.051490627
Kurtosis2.678466242
Mean31.94012857
Median Absolute Deviation (MAD)0
Skewness1.992375178
Sum2235809
Variance4293.509166
MonotonicityNot monotonic
2025-03-23T12:48:42.431473image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 49270
70.4%
1 1062
 
1.5%
2 794
 
1.1%
3 499
 
0.7%
255 395
 
0.6%
4 332
 
0.5%
5 233
 
0.3%
6 177
 
0.3%
8 109
 
0.2%
153 98
 
0.1%
Other values (246) 17031
 
24.3%
ValueCountFrequency (%)
0 49270
70.4%
1 1062
 
1.5%
2 794
 
1.1%
3 499
 
0.7%
4 332
 
0.5%
ValueCountFrequency (%)
255 395
0.6%
254 61
 
0.1%
253 38
 
0.1%
252 34
 
< 0.1%
251 35
 
0.1%

37
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.91595714
Minimum0
Maximum255
Zeros41728
Zeros (%)59.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:42.601046image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3100
95-th percentile231
Maximum255
Range255
Interquartile range (IQR)100

Descriptive statistics

Standard deviation82.18794537
Coefficient of variation (CV)1.553178848
Kurtosis-0.009484506949
Mean52.91595714
Median Absolute Deviation (MAD)0
Skewness1.245027168
Sum3704117
Variance6754.858363
MonotonicityNot monotonic
2025-03-23T12:48:42.764952image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 41728
59.6%
255 983
 
1.4%
1 778
 
1.1%
2 525
 
0.8%
3 351
 
0.5%
4 296
 
0.4%
5 208
 
0.3%
199 161
 
0.2%
6 157
 
0.2%
210 157
 
0.2%
Other values (246) 24656
35.2%
ValueCountFrequency (%)
0 41728
59.6%
1 778
 
1.1%
2 525
 
0.8%
3 351
 
0.5%
4 296
 
0.4%
ValueCountFrequency (%)
255 983
1.4%
254 136
 
0.2%
253 125
 
0.2%
252 72
 
0.1%
251 71
 
0.1%

38
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.68508571
Minimum0
Maximum255
Zeros33698
Zeros (%)48.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:42.917300image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q3177
95-th percentile247
Maximum255
Range255
Interquartile range (IQR)177

Descriptive statistics

Standard deviation95.53766987
Coefficient of variation (CV)1.198940417
Kurtosis-1.284669348
Mean79.68508571
Median Absolute Deviation (MAD)3
Skewness0.6341351439
Sum5577956
Variance9127.446364
MonotonicityNot monotonic
2025-03-23T12:48:43.081602image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33698
48.1%
255 2192
 
3.1%
1 562
 
0.8%
2 422
 
0.6%
3 375
 
0.5%
254 297
 
0.4%
4 280
 
0.4%
236 253
 
0.4%
228 245
 
0.4%
212 242
 
0.3%
Other values (246) 31434
44.9%
ValueCountFrequency (%)
0 33698
48.1%
1 562
 
0.8%
2 422
 
0.6%
3 375
 
0.5%
4 280
 
0.4%
ValueCountFrequency (%)
255 2192
3.1%
254 297
 
0.4%
253 224
 
0.3%
252 155
 
0.2%
251 138
 
0.2%

39
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.2162286
Minimum0
Maximum255
Zeros28580
Zeros (%)40.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:43.250674image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median81
Q3204
95-th percentile250
Maximum255
Range255
Interquartile range (IQR)204

Descriptive statistics

Standard deviation99.89948813
Coefficient of variation (CV)0.9968394297
Kurtosis-1.651933755
Mean100.2162286
Median Absolute Deviation (MAD)81
Skewness0.244539096
Sum7015136
Variance9979.90773
MonotonicityNot monotonic
2025-03-23T12:48:43.397327image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28580
40.8%
255 2306
 
3.3%
254 396
 
0.6%
231 386
 
0.6%
233 373
 
0.5%
228 344
 
0.5%
225 338
 
0.5%
236 335
 
0.5%
222 334
 
0.5%
1 333
 
0.5%
Other values (246) 36275
51.8%
ValueCountFrequency (%)
0 28580
40.8%
1 333
 
0.5%
2 253
 
0.4%
3 195
 
0.3%
4 166
 
0.2%
ValueCountFrequency (%)
255 2306
3.3%
254 396
 
0.6%
253 280
 
0.4%
252 232
 
0.3%
251 231
 
0.3%

40
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.0551857
Minimum0
Maximum255
Zeros26985
Zeros (%)38.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:43.598094image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median124
Q3218
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)218

Descriptive statistics

Standard deviation103.6135076
Coefficient of variation (CV)0.9164861124
Kurtosis-1.736521429
Mean113.0551857
Median Absolute Deviation (MAD)121
Skewness0.04669296903
Sum7913863
Variance10735.75897
MonotonicityNot monotonic
2025-03-23T12:48:43.783993image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26985
38.6%
255 3937
 
5.6%
254 596
 
0.9%
253 444
 
0.6%
236 426
 
0.6%
234 416
 
0.6%
238 414
 
0.6%
239 413
 
0.6%
230 400
 
0.6%
237 397
 
0.6%
Other values (246) 35572
50.8%
ValueCountFrequency (%)
0 26985
38.6%
1 215
 
0.3%
2 141
 
0.2%
3 105
 
0.1%
4 92
 
0.1%
ValueCountFrequency (%)
255 3937
5.6%
254 596
 
0.9%
253 444
 
0.6%
252 355
 
0.5%
251 329
 
0.5%

41
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.2311286
Minimum0
Maximum255
Zeros26886
Zeros (%)38.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:43.945475image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median118
Q3216
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)216

Descriptive statistics

Standard deviation102.759341
Coefficient of variation (CV)0.9238361805
Kurtosis-1.713308279
Mean111.2311286
Median Absolute Deviation (MAD)118
Skewness0.07995430816
Sum7786179
Variance10559.48216
MonotonicityNot monotonic
2025-03-23T12:48:44.115340image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26886
38.4%
255 3919
 
5.6%
254 593
 
0.8%
253 449
 
0.6%
232 382
 
0.5%
240 380
 
0.5%
227 376
 
0.5%
235 371
 
0.5%
237 367
 
0.5%
231 367
 
0.5%
Other values (246) 35910
51.3%
ValueCountFrequency (%)
0 26886
38.4%
1 278
 
0.4%
2 139
 
0.2%
3 98
 
0.1%
4 93
 
0.1%
ValueCountFrequency (%)
255 3919
5.6%
254 593
 
0.8%
253 449
 
0.6%
252 350
 
0.5%
251 333
 
0.5%

42
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.1315571
Minimum0
Maximum255
Zeros27226
Zeros (%)38.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:44.263594image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median110
Q3214
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)214

Descriptive statistics

Standard deviation102.2876437
Coefficient of variation (CV)0.9372874942
Kurtosis-1.703335136
Mean109.1315571
Median Absolute Deviation (MAD)110
Skewness0.1139561158
Sum7639209
Variance10462.76206
MonotonicityNot monotonic
2025-03-23T12:48:44.448972image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27226
38.9%
255 3754
 
5.4%
254 586
 
0.8%
238 392
 
0.6%
231 384
 
0.5%
253 379
 
0.5%
240 378
 
0.5%
228 373
 
0.5%
236 359
 
0.5%
232 358
 
0.5%
Other values (246) 35811
51.2%
ValueCountFrequency (%)
0 27226
38.9%
1 238
 
0.3%
2 167
 
0.2%
3 101
 
0.1%
4 102
 
0.1%
ValueCountFrequency (%)
255 3754
5.4%
254 586
 
0.8%
253 379
 
0.5%
252 320
 
0.5%
251 292
 
0.4%

43
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.7424
Minimum0
Maximum255
Zeros26318
Zeros (%)37.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:44.619388image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median125
Q3219
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)219

Descriptive statistics

Standard deviation103.6457375
Coefficient of variation (CV)0.9032906538
Kurtosis-1.728460049
Mean114.7424
Median Absolute Deviation (MAD)120
Skewness0.02912903808
Sum8031968
Variance10742.43891
MonotonicityNot monotonic
2025-03-23T12:48:44.797846image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26318
37.6%
255 4378
 
6.3%
254 671
 
1.0%
253 473
 
0.7%
235 411
 
0.6%
237 410
 
0.6%
238 398
 
0.6%
240 397
 
0.6%
233 391
 
0.6%
236 391
 
0.6%
Other values (246) 35762
51.1%
ValueCountFrequency (%)
0 26318
37.6%
1 186
 
0.3%
2 148
 
0.2%
3 85
 
0.1%
4 71
 
0.1%
ValueCountFrequency (%)
255 4378
6.3%
254 671
 
1.0%
253 473
 
0.7%
252 386
 
0.6%
251 300
 
0.4%

44
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.4887571
Minimum0
Maximum255
Zeros26385
Zeros (%)37.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:44.947180image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median115
Q3213
95-th percentile254
Maximum255
Range255
Interquartile range (IQR)213

Descriptive statistics

Standard deviation101.4503925
Coefficient of variation (CV)0.9181965215
Kurtosis-1.697160801
Mean110.4887571
Median Absolute Deviation (MAD)115
Skewness0.08531371725
Sum7734213
Variance10292.18213
MonotonicityNot monotonic
2025-03-23T12:48:45.113731image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26385
37.7%
255 3388
 
4.8%
254 563
 
0.8%
236 382
 
0.5%
242 375
 
0.5%
230 374
 
0.5%
253 373
 
0.5%
222 371
 
0.5%
234 370
 
0.5%
229 369
 
0.5%
Other values (246) 37050
52.9%
ValueCountFrequency (%)
0 26385
37.7%
1 158
 
0.2%
2 121
 
0.2%
3 86
 
0.1%
4 85
 
0.1%
ValueCountFrequency (%)
255 3388
4.8%
254 563
 
0.8%
253 373
 
0.5%
252 312
 
0.4%
251 309
 
0.4%

45
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.07484286
Minimum0
Maximum255
Zeros30061
Zeros (%)42.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:45.280217image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median51
Q3191
95-th percentile247
Maximum255
Range255
Interquartile range (IQR)191

Descriptive statistics

Standard deviation96.93065168
Coefficient of variation (CV)1.064296667
Kurtosis-1.518992721
Mean91.07484286
Median Absolute Deviation (MAD)51
Skewness0.4035724078
Sum6375239
Variance9395.551235
MonotonicityNot monotonic
2025-03-23T12:48:45.446599image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30061
42.9%
255 1917
 
2.7%
228 321
 
0.5%
254 304
 
0.4%
226 297
 
0.4%
234 296
 
0.4%
227 296
 
0.4%
241 292
 
0.4%
229 289
 
0.4%
235 284
 
0.4%
Other values (246) 35643
50.9%
ValueCountFrequency (%)
0 30061
42.9%
1 279
 
0.4%
2 253
 
0.4%
3 226
 
0.3%
4 166
 
0.2%
ValueCountFrequency (%)
255 1917
2.7%
254 304
 
0.4%
253 200
 
0.3%
252 206
 
0.3%
251 170
 
0.2%

46
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.6686
Minimum0
Maximum255
Zeros35625
Zeros (%)50.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:45.663435image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3157
95-th percentile244
Maximum255
Range255
Interquartile range (IQR)157

Descriptive statistics

Standard deviation91.82521845
Coefficient of variation (CV)1.281247554
Kurtosis-0.9993655461
Mean71.6686
Median Absolute Deviation (MAD)0
Skewness0.8009341986
Sum5016802
Variance8431.870744
MonotonicityNot monotonic
2025-03-23T12:48:45.953946image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35625
50.9%
255 1997
 
2.9%
1 523
 
0.7%
2 399
 
0.6%
3 371
 
0.5%
4 278
 
0.4%
5 227
 
0.3%
254 218
 
0.3%
253 211
 
0.3%
216 210
 
0.3%
Other values (246) 29941
42.8%
ValueCountFrequency (%)
0 35625
50.9%
1 523
 
0.7%
2 399
 
0.6%
3 371
 
0.5%
4 278
 
0.4%
ValueCountFrequency (%)
255 1997
2.9%
254 218
 
0.3%
253 211
 
0.3%
252 161
 
0.2%
251 121
 
0.2%

47
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.035
Minimum0
Maximum255
Zeros43066
Zeros (%)61.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:46.162675image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q371
95-th percentile221
Maximum255
Range255
Interquartile range (IQR)71

Descriptive statistics

Standard deviation75.7939058
Coefficient of variation (CV)1.683000018
Kurtosis0.7521843614
Mean45.035
Median Absolute Deviation (MAD)0
Skewness1.48351463
Sum3152450
Variance5744.716157
MonotonicityNot monotonic
2025-03-23T12:48:46.365788image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43066
61.5%
1 916
 
1.3%
255 783
 
1.1%
2 706
 
1.0%
3 500
 
0.7%
4 390
 
0.6%
5 277
 
0.4%
6 201
 
0.3%
9 152
 
0.2%
7 138
 
0.2%
Other values (246) 22871
32.7%
ValueCountFrequency (%)
0 43066
61.5%
1 916
 
1.3%
2 706
 
1.0%
3 500
 
0.7%
4 390
 
0.6%
ValueCountFrequency (%)
255 783
1.1%
254 110
 
0.2%
253 90
 
0.1%
252 65
 
0.1%
251 60
 
0.1%

48
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.99381429
Minimum0
Maximum255
Zeros50032
Zeros (%)71.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:46.537625image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile183
Maximum255
Range255
Interquartile range (IQR)2

Descriptive statistics

Standard deviation59.09284248
Coefficient of variation (CV)2.27334249
Kurtosis4.495142267
Mean25.99381429
Median Absolute Deviation (MAD)0
Skewness2.357818549
Sum1819567
Variance3491.964033
MonotonicityNot monotonic
2025-03-23T12:48:46.725044image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 50032
71.5%
1 1712
 
2.4%
2 1076
 
1.5%
3 689
 
1.0%
4 468
 
0.7%
255 360
 
0.5%
5 342
 
0.5%
6 246
 
0.4%
7 127
 
0.2%
9 115
 
0.2%
Other values (246) 14833
 
21.2%
ValueCountFrequency (%)
0 50032
71.5%
1 1712
 
2.4%
2 1076
 
1.5%
3 689
 
1.0%
4 468
 
0.7%
ValueCountFrequency (%)
255 360
0.5%
254 43
 
0.1%
253 45
 
0.1%
252 31
 
< 0.1%
251 31
 
< 0.1%

49
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.55251429
Minimum0
Maximum255
Zeros54529
Zeros (%)77.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:46.896876image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile115
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation42.96155601
Coefficient of variation (CV)3.170006326
Kurtosis13.46822732
Mean13.55251429
Median Absolute Deviation (MAD)0
Skewness3.684290723
Sum948676
Variance1845.695295
MonotonicityNot monotonic
2025-03-23T12:48:47.053119image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54529
77.9%
1 2408
 
3.4%
2 1480
 
2.1%
3 1010
 
1.4%
4 603
 
0.9%
5 402
 
0.6%
6 238
 
0.3%
255 188
 
0.3%
7 163
 
0.2%
9 114
 
0.2%
Other values (246) 8865
 
12.7%
ValueCountFrequency (%)
0 54529
77.9%
1 2408
 
3.4%
2 1480
 
2.1%
3 1010
 
1.4%
4 603
 
0.9%
ValueCountFrequency (%)
255 188
0.3%
254 22
 
< 0.1%
253 23
 
< 0.1%
252 7
 
< 0.1%
251 13
 
< 0.1%

50
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.1958
Minimum0
Maximum255
Zeros60135
Zeros (%)85.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:47.224944image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile26
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation29.89412461
Coefficient of variation (CV)4.824901483
Kurtosis36.54235904
Mean6.1958
Median Absolute Deviation (MAD)0
Skewness5.888657344
Sum433706
Variance893.6586861
MonotonicityNot monotonic
2025-03-23T12:48:47.495408image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60135
85.9%
1 2768
 
4.0%
2 1332
 
1.9%
3 677
 
1.0%
4 356
 
0.5%
5 195
 
0.3%
6 118
 
0.2%
255 101
 
0.1%
7 79
 
0.1%
14 62
 
0.1%
Other values (246) 4177
 
6.0%
ValueCountFrequency (%)
0 60135
85.9%
1 2768
 
4.0%
2 1332
 
1.9%
3 677
 
1.0%
4 356
 
0.5%
ValueCountFrequency (%)
255 101
0.1%
254 8
 
< 0.1%
253 11
 
< 0.1%
252 6
 
< 0.1%
251 8
 
< 0.1%

51
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.489028571
Minimum0
Maximum255
Zeros64219
Zeros (%)91.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:47.670736image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation23.41351861
Coefficient of variation (CV)6.710612462
Kurtosis66.63235278
Mean3.489028571
Median Absolute Deviation (MAD)0
Skewness7.957086223
Sum244232
Variance548.1928538
MonotonicityNot monotonic
2025-03-23T12:48:47.892950image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64219
91.7%
1 2169
 
3.1%
2 794
 
1.1%
3 332
 
0.5%
4 155
 
0.2%
5 86
 
0.1%
255 60
 
0.1%
6 46
 
0.1%
17 28
 
< 0.1%
14 28
 
< 0.1%
Other values (245) 2083
 
3.0%
ValueCountFrequency (%)
0 64219
91.7%
1 2169
 
3.1%
2 794
 
1.1%
3 332
 
0.5%
4 155
 
0.2%
ValueCountFrequency (%)
255 60
0.1%
254 7
 
< 0.1%
253 4
 
< 0.1%
251 2
 
< 0.1%
250 8
 
< 0.1%

52
Real number (ℝ)

Zeros 

Distinct250
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.218985714
Minimum0
Maximum255
Zeros66262
Zeros (%)94.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:48.092875image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18.65574527
Coefficient of variation (CV)8.407330046
Kurtosis104.3536016
Mean2.218985714
Median Absolute Deviation (MAD)0
Skewness9.905480158
Sum155329
Variance348.0368315
MonotonicityNot monotonic
2025-03-23T12:48:48.344412image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66262
94.7%
1 1496
 
2.1%
2 562
 
0.8%
3 210
 
0.3%
4 78
 
0.1%
5 45
 
0.1%
255 33
 
< 0.1%
6 28
 
< 0.1%
9 16
 
< 0.1%
19 15
 
< 0.1%
Other values (240) 1255
 
1.8%
ValueCountFrequency (%)
0 66262
94.7%
1 1496
 
2.1%
2 562
 
0.8%
3 210
 
0.3%
4 78
 
0.1%
ValueCountFrequency (%)
255 33
< 0.1%
254 2
 
< 0.1%
253 1
 
< 0.1%
252 4
 
< 0.1%
250 4
 
< 0.1%

53
Real number (ℝ)

Zeros 

Distinct235
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1897
Minimum0
Maximum255
Zeros68218
Zeros (%)97.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:48.664156image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.32581252
Coefficient of variation (CV)11.20098556
Kurtosis195.9079183
Mean1.1897
Median Absolute Deviation (MAD)0
Skewness13.46508692
Sum83279
Variance177.5772793
MonotonicityNot monotonic
2025-03-23T12:48:49.268748image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68218
97.5%
1 586
 
0.8%
2 204
 
0.3%
3 79
 
0.1%
4 56
 
0.1%
5 32
 
< 0.1%
6 23
 
< 0.1%
255 14
 
< 0.1%
8 13
 
< 0.1%
11 12
 
< 0.1%
Other values (225) 763
 
1.1%
ValueCountFrequency (%)
0 68218
97.5%
1 586
 
0.8%
2 204
 
0.3%
3 79
 
0.1%
4 56
 
0.1%
ValueCountFrequency (%)
255 14
< 0.1%
254 1
 
< 0.1%
253 1
 
< 0.1%
252 1
 
< 0.1%
251 1
 
< 0.1%

54
Real number (ℝ)

Skewed  Zeros 

Distinct172
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4544857143
Minimum0
Maximum255
Zeros69104
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:49.452210image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.798375111
Coefficient of variation (CV)17.15868039
Kurtosis558.830415
Mean0.4544857143
Median Absolute Deviation (MAD)0
Skewness22.33590296
Sum31814
Variance60.81465437
MonotonicityNot monotonic
2025-03-23T12:48:49.657505image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69104
98.7%
1 261
 
0.4%
2 105
 
0.1%
3 51
 
0.1%
4 42
 
0.1%
5 38
 
0.1%
6 24
 
< 0.1%
7 11
 
< 0.1%
8 11
 
< 0.1%
255 8
 
< 0.1%
Other values (162) 345
 
0.5%
ValueCountFrequency (%)
0 69104
98.7%
1 261
 
0.4%
2 105
 
0.1%
3 51
 
0.1%
4 42
 
0.1%
ValueCountFrequency (%)
255 8
< 0.1%
252 1
 
< 0.1%
249 1
 
< 0.1%
248 1
 
< 0.1%
244 1
 
< 0.1%

55
Real number (ℝ)

Skewed  Zeros 

Distinct65
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07992857143
Minimum0
Maximum210
Zeros69716
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:49.829339image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum210
Range210
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.864107946
Coefficient of variation (CV)35.83334338
Kurtosis2771.569692
Mean0.07992857143
Median Absolute Deviation (MAD)0
Skewness49.67969444
Sum5595
Variance8.203114325
MonotonicityNot monotonic
2025-03-23T12:48:50.001174image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69716
99.6%
1 94
 
0.1%
2 51
 
0.1%
3 24
 
< 0.1%
4 11
 
< 0.1%
5 8
 
< 0.1%
6 7
 
< 0.1%
10 5
 
< 0.1%
7 4
 
< 0.1%
41 4
 
< 0.1%
Other values (55) 76
 
0.1%
ValueCountFrequency (%)
0 69716
99.6%
1 94
 
0.1%
2 51
 
0.1%
3 24
 
< 0.1%
4 11
 
< 0.1%
ValueCountFrequency (%)
210 1
< 0.1%
206 1
< 0.1%
194 1
< 0.1%
176 1
< 0.1%
170 1
< 0.1%

56
Real number (ℝ)

Skewed  Zeros 

Distinct25
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02531428571
Minimum0
Maximum206
Zeros69803
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:50.173008image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum206
Range206
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.639746635
Coefficient of variation (CV)64.77554427
Kurtosis10094.47017
Mean0.02531428571
Median Absolute Deviation (MAD)0
Skewness97.19616294
Sum1772
Variance2.688769026
MonotonicityNot monotonic
2025-03-23T12:48:50.329221image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 69803
99.7%
1 94
 
0.1%
2 36
 
0.1%
3 14
 
< 0.1%
4 12
 
< 0.1%
5 10
 
< 0.1%
6 9
 
< 0.1%
7 4
 
< 0.1%
16 2
 
< 0.1%
25 1
 
< 0.1%
Other values (15) 15
 
< 0.1%
ValueCountFrequency (%)
0 69803
99.7%
1 94
 
0.1%
2 36
 
0.1%
3 14
 
< 0.1%
4 12
 
< 0.1%
ValueCountFrequency (%)
206 1
< 0.1%
184 1
< 0.1%
166 1
< 0.1%
152 1
< 0.1%
134 1
< 0.1%

57
Real number (ℝ)

Skewed  Zeros 

Distinct57
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08647142857
Minimum0
Maximum255
Zeros69621
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:50.516678image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.352829998
Coefficient of variation (CV)38.77384766
Kurtosis3031.592557
Mean0.08647142857
Median Absolute Deviation (MAD)0
Skewness52.63468071
Sum6053
Variance11.241469
MonotonicityNot monotonic
2025-03-23T12:48:50.719755image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69621
99.5%
1 177
 
0.3%
2 58
 
0.1%
3 26
 
< 0.1%
5 17
 
< 0.1%
4 17
 
< 0.1%
6 8
 
< 0.1%
7 6
 
< 0.1%
8 6
 
< 0.1%
15 4
 
< 0.1%
Other values (47) 60
 
0.1%
ValueCountFrequency (%)
0 69621
99.5%
1 177
 
0.3%
2 58
 
0.1%
3 26
 
< 0.1%
4 17
 
< 0.1%
ValueCountFrequency (%)
255 1
< 0.1%
236 1
< 0.1%
229 1
< 0.1%
227 1
< 0.1%
219 1
< 0.1%

58
Real number (ℝ)

Skewed  Zeros 

Distinct115
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2692
Minimum0
Maximum255
Zeros68783
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:50.922830image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.890772319
Coefficient of variation (CV)21.88251233
Kurtosis898.6010156
Mean0.2692
Median Absolute Deviation (MAD)0
Skewness28.80258213
Sum18844
Variance34.70119852
MonotonicityNot monotonic
2025-03-23T12:48:51.157185image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68783
98.3%
1 562
 
0.8%
2 242
 
0.3%
3 101
 
0.1%
4 50
 
0.1%
5 44
 
0.1%
6 20
 
< 0.1%
7 10
 
< 0.1%
10 6
 
< 0.1%
45 5
 
< 0.1%
Other values (105) 177
 
0.3%
ValueCountFrequency (%)
0 68783
98.3%
1 562
 
0.8%
2 242
 
0.3%
3 101
 
0.1%
4 50
 
0.1%
ValueCountFrequency (%)
255 1
< 0.1%
235 1
< 0.1%
233 1
< 0.1%
231 1
< 0.1%
226 1
< 0.1%

59
Real number (ℝ)

Zeros 

Distinct200
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7219857143
Minimum0
Maximum255
Zeros66698
Zeros (%)95.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:51.344605image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.735077471
Coefficient of variation (CV)13.4837536
Kurtosis334.5405841
Mean0.7219857143
Median Absolute Deviation (MAD)0
Skewness17.61125985
Sum50539
Variance94.77173337
MonotonicityNot monotonic
2025-03-23T12:48:51.500819image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66698
95.3%
1 1517
 
2.2%
2 665
 
0.9%
3 324
 
0.5%
4 159
 
0.2%
5 87
 
0.1%
6 49
 
0.1%
7 28
 
< 0.1%
8 14
 
< 0.1%
9 12
 
< 0.1%
Other values (190) 447
 
0.6%
ValueCountFrequency (%)
0 66698
95.3%
1 1517
 
2.2%
2 665
 
0.9%
3 324
 
0.5%
4 159
 
0.2%
ValueCountFrequency (%)
255 4
< 0.1%
250 1
 
< 0.1%
240 2
< 0.1%
235 1
 
< 0.1%
234 2
< 0.1%

60
Real number (ℝ)

Zeros 

Distinct245
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.115914286
Minimum0
Maximum255
Zeros64127
Zeros (%)91.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:51.688319image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.3546983
Coefficient of variation (CV)7.729376567
Kurtosis111.5734369
Mean2.115914286
Median Absolute Deviation (MAD)0
Skewness10.08672545
Sum148114
Variance267.4761564
MonotonicityNot monotonic
2025-03-23T12:48:51.860148image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64127
91.6%
1 2298
 
3.3%
2 1001
 
1.4%
3 381
 
0.5%
4 212
 
0.3%
5 104
 
0.1%
6 71
 
0.1%
7 44
 
0.1%
17 41
 
0.1%
9 40
 
0.1%
Other values (235) 1681
 
2.4%
ValueCountFrequency (%)
0 64127
91.6%
1 2298
 
3.3%
2 1001
 
1.4%
3 381
 
0.5%
4 212
 
0.3%
ValueCountFrequency (%)
255 4
< 0.1%
254 1
 
< 0.1%
253 2
< 0.1%
250 1
 
< 0.1%
249 1
 
< 0.1%

61
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.400442857
Minimum0
Maximum255
Zeros59443
Zeros (%)84.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:52.016357image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile80
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation35.09177022
Coefficient of variation (CV)3.732991175
Kurtosis19.2326877
Mean9.400442857
Median Absolute Deviation (MAD)0
Skewness4.339322483
Sum658031
Variance1231.432337
MonotonicityNot monotonic
2025-03-23T12:48:52.188196image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59443
84.9%
1 2021
 
2.9%
2 894
 
1.3%
3 384
 
0.5%
4 210
 
0.3%
5 150
 
0.2%
6 104
 
0.1%
7 83
 
0.1%
9 75
 
0.1%
16 74
 
0.1%
Other values (246) 6562
 
9.4%
ValueCountFrequency (%)
0 59443
84.9%
1 2021
 
2.9%
2 894
 
1.3%
3 384
 
0.5%
4 210
 
0.3%
ValueCountFrequency (%)
255 20
< 0.1%
254 6
 
< 0.1%
253 5
 
< 0.1%
252 3
 
< 0.1%
251 4
 
< 0.1%

62
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.91774286
Minimum0
Maximum255
Zeros54329
Zeros (%)77.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:52.359990image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile178
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation56.902476
Coefficient of variation (CV)2.482900535
Kurtosis5.120501996
Mean22.91774286
Median Absolute Deviation (MAD)0
Skewness2.510155442
Sum1604242
Variance3237.891775
MonotonicityNot monotonic
2025-03-23T12:48:52.531826image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54329
77.6%
1 1242
 
1.8%
2 713
 
1.0%
3 454
 
0.6%
4 299
 
0.4%
5 192
 
0.3%
6 160
 
0.2%
255 100
 
0.1%
7 93
 
0.1%
143 73
 
0.1%
Other values (246) 12345
 
17.6%
ValueCountFrequency (%)
0 54329
77.6%
1 1242
 
1.8%
2 713
 
1.0%
3 454
 
0.6%
4 299
 
0.4%
ValueCountFrequency (%)
255 100
0.1%
254 28
 
< 0.1%
253 22
 
< 0.1%
252 29
 
< 0.1%
251 27
 
< 0.1%

63
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.8488
Minimum0
Maximum255
Zeros49037
Zeros (%)70.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:52.719282image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q312
95-th percentile210
Maximum255
Range255
Interquartile range (IQR)12

Descriptive statistics

Standard deviation69.41451907
Coefficient of variation (CV)1.991876882
Kurtosis1.950071813
Mean34.8488
Median Absolute Deviation (MAD)0
Skewness1.84563968
Sum2439416
Variance4818.375458
MonotonicityNot monotonic
2025-03-23T12:48:52.891116image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 49037
70.1%
1 983
 
1.4%
2 665
 
0.9%
3 482
 
0.7%
4 322
 
0.5%
5 271
 
0.4%
6 189
 
0.3%
255 174
 
0.2%
7 133
 
0.2%
9 111
 
0.2%
Other values (246) 17633
 
25.2%
ValueCountFrequency (%)
0 49037
70.1%
1 983
 
1.4%
2 665
 
0.9%
3 482
 
0.7%
4 322
 
0.5%
ValueCountFrequency (%)
255 174
0.2%
254 55
 
0.1%
253 43
 
0.1%
252 31
 
< 0.1%
251 37
 
0.1%

64
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.6397
Minimum0
Maximum255
Zeros42070
Zeros (%)60.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:53.094197image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q389
95-th percentile222
Maximum255
Range255
Interquartile range (IQR)89

Descriptive statistics

Standard deviation78.74917771
Coefficient of variation (CV)1.586415263
Kurtosis0.1351777875
Mean49.6397
Median Absolute Deviation (MAD)0
Skewness1.300048526
Sum3474779
Variance6201.43299
MonotonicityNot monotonic
2025-03-23T12:48:53.266028image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42070
60.1%
1 754
 
1.1%
2 528
 
0.8%
3 383
 
0.5%
4 312
 
0.4%
5 230
 
0.3%
255 216
 
0.3%
6 189
 
0.3%
215 162
 
0.2%
198 153
 
0.2%
Other values (246) 25003
35.7%
ValueCountFrequency (%)
0 42070
60.1%
1 754
 
1.1%
2 528
 
0.8%
3 383
 
0.5%
4 312
 
0.4%
ValueCountFrequency (%)
255 216
0.3%
254 65
 
0.1%
253 70
 
0.1%
252 48
 
0.1%
251 48
 
0.1%

65
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.41688571
Minimum0
Maximum255
Zeros32721
Zeros (%)46.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:53.437901image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q3150
95-th percentile231
Maximum255
Range255
Interquartile range (IQR)150

Descriptive statistics

Standard deviation86.79835091
Coefficient of variation (CV)1.215375748
Kurtosis-1.030543713
Mean71.41688571
Median Absolute Deviation (MAD)8
Skewness0.7453350721
Sum4999182
Variance7533.95372
MonotonicityNot monotonic
2025-03-23T12:48:53.625318image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32721
46.7%
1 646
 
0.9%
255 464
 
0.7%
2 436
 
0.6%
3 336
 
0.5%
4 281
 
0.4%
223 232
 
0.3%
5 229
 
0.3%
206 228
 
0.3%
219 223
 
0.3%
Other values (246) 34204
48.9%
ValueCountFrequency (%)
0 32721
46.7%
1 646
 
0.9%
2 436
 
0.6%
3 336
 
0.5%
4 281
 
0.4%
ValueCountFrequency (%)
255 464
0.7%
254 95
 
0.1%
253 71
 
0.1%
252 77
 
0.1%
251 83
 
0.1%

66
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.92
Minimum0
Maximum255
Zeros27898
Zeros (%)39.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:53.797153image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median74
Q3190
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)190

Descriptive statistics

Standard deviation94.44246815
Coefficient of variation (CV)1.005562906
Kurtosis-1.57552898
Mean93.92
Median Absolute Deviation (MAD)74
Skewness0.2996204035
Sum6574400
Variance8919.379791
MonotonicityNot monotonic
2025-03-23T12:48:53.937796image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27898
39.9%
255 956
 
1.4%
1 415
 
0.6%
225 366
 
0.5%
221 347
 
0.5%
223 343
 
0.5%
229 341
 
0.5%
220 337
 
0.5%
226 334
 
0.5%
227 333
 
0.5%
Other values (246) 38330
54.8%
ValueCountFrequency (%)
0 27898
39.9%
1 415
 
0.6%
2 314
 
0.4%
3 255
 
0.4%
4 228
 
0.3%
ValueCountFrequency (%)
255 956
1.4%
254 201
 
0.3%
253 144
 
0.2%
252 115
 
0.2%
251 114
 
0.2%

67
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.3561143
Minimum0
Maximum255
Zeros26140
Zeros (%)37.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:54.094003image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median101
Q3197
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)197

Descriptive statistics

Standard deviation94.51169113
Coefficient of variation (CV)0.9324715317
Kurtosis-1.673486984
Mean101.3561143
Median Absolute Deviation (MAD)101
Skewness0.1273179141
Sum7094928
Variance8932.459761
MonotonicityNot monotonic
2025-03-23T12:48:54.250212image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26140
37.3%
225 457
 
0.7%
221 444
 
0.6%
223 439
 
0.6%
224 436
 
0.6%
255 435
 
0.6%
217 435
 
0.6%
216 433
 
0.6%
222 433
 
0.6%
220 420
 
0.6%
Other values (246) 39928
57.0%
ValueCountFrequency (%)
0 26140
37.3%
1 365
 
0.5%
2 223
 
0.3%
3 180
 
0.3%
4 151
 
0.2%
ValueCountFrequency (%)
255 435
0.6%
254 120
 
0.2%
253 78
 
0.1%
252 77
 
0.1%
251 89
 
0.1%

68
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.3996
Minimum0
Maximum255
Zeros25858
Zeros (%)36.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:54.390808image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median113
Q3202
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)202

Descriptive statistics

Standard deviation95.74325587
Coefficient of variation (CV)0.9083834841
Kurtosis-1.698473626
Mean105.3996
Median Absolute Deviation (MAD)111
Skewness0.06113168244
Sum7377972
Variance9166.771045
MonotonicityNot monotonic
2025-03-23T12:48:54.609498image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25858
36.9%
255 528
 
0.8%
223 488
 
0.7%
225 482
 
0.7%
220 477
 
0.7%
222 468
 
0.7%
224 466
 
0.7%
227 453
 
0.6%
218 449
 
0.6%
219 449
 
0.6%
Other values (246) 39882
57.0%
ValueCountFrequency (%)
0 25858
36.9%
1 301
 
0.4%
2 177
 
0.3%
3 137
 
0.2%
4 101
 
0.1%
ValueCountFrequency (%)
255 528
0.8%
254 123
 
0.2%
253 88
 
0.1%
252 84
 
0.1%
251 89
 
0.1%

69
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.9214429
Minimum0
Maximum255
Zeros26265
Zeros (%)37.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:54.796952image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median117
Q3204
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)204

Descriptive statistics

Standard deviation97.20473282
Coefficient of variation (CV)0.9091229058
Kurtosis-1.710062034
Mean106.9214429
Median Absolute Deviation (MAD)111
Skewness0.04908182355
Sum7484501
Variance9448.760082
MonotonicityNot monotonic
2025-03-23T12:48:55.171840image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26265
37.5%
255 777
 
1.1%
227 488
 
0.7%
228 477
 
0.7%
220 472
 
0.7%
226 469
 
0.7%
223 468
 
0.7%
225 464
 
0.7%
222 459
 
0.7%
224 450
 
0.6%
Other values (246) 39211
56.0%
ValueCountFrequency (%)
0 26265
37.5%
1 311
 
0.4%
2 174
 
0.2%
3 124
 
0.2%
4 106
 
0.2%
ValueCountFrequency (%)
255 777
1.1%
254 159
 
0.2%
253 116
 
0.2%
252 119
 
0.2%
251 120
 
0.2%

70
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.1843571
Minimum0
Maximum255
Zeros26532
Zeros (%)37.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:55.453046image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median116
Q3206
95-th percentile242
Maximum255
Range255
Interquartile range (IQR)206

Descriptive statistics

Standard deviation98.08650459
Coefficient of variation (CV)0.9151195866
Kurtosis-1.708838168
Mean107.1843571
Median Absolute Deviation (MAD)113
Skewness0.06047347856
Sum7502905
Variance9620.962383
MonotonicityNot monotonic
2025-03-23T12:48:55.718574image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26532
37.9%
255 1209
 
1.7%
224 476
 
0.7%
223 472
 
0.7%
222 465
 
0.7%
227 447
 
0.6%
220 441
 
0.6%
225 440
 
0.6%
221 439
 
0.6%
216 438
 
0.6%
Other values (246) 38641
55.2%
ValueCountFrequency (%)
0 26532
37.9%
1 287
 
0.4%
2 183
 
0.3%
3 116
 
0.2%
4 108
 
0.2%
ValueCountFrequency (%)
255 1209
1.7%
254 287
 
0.4%
253 163
 
0.2%
252 140
 
0.2%
251 141
 
0.2%

71
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.2995857
Minimum0
Maximum255
Zeros25546
Zeros (%)36.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:56.280998image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median120
Q3205
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)205

Descriptive statistics

Standard deviation96.57432171
Coefficient of variation (CV)0.8917330669
Kurtosis-1.701440404
Mean108.2995857
Median Absolute Deviation (MAD)106
Skewness0.02211022239
Sum7580971
Variance9326.599614
MonotonicityNot monotonic
2025-03-23T12:48:56.437154image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25546
36.5%
255 736
 
1.1%
223 485
 
0.7%
222 480
 
0.7%
227 471
 
0.7%
220 471
 
0.7%
221 470
 
0.7%
219 469
 
0.7%
224 468
 
0.7%
215 465
 
0.7%
Other values (246) 39939
57.1%
ValueCountFrequency (%)
0 25546
36.5%
1 193
 
0.3%
2 143
 
0.2%
3 103
 
0.1%
4 81
 
0.1%
ValueCountFrequency (%)
255 736
1.1%
254 146
 
0.2%
253 130
 
0.2%
252 110
 
0.2%
251 120
 
0.2%

72
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.0547
Minimum0
Maximum255
Zeros24929
Zeros (%)35.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:56.577784image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median111
Q3199
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)199

Descriptive statistics

Standard deviation94.02957537
Coefficient of variation (CV)0.8950534852
Kurtosis-1.673370099
Mean105.0547
Median Absolute Deviation (MAD)108
Skewness0.05876039349
Sum7353829
Variance8841.561044
MonotonicityNot monotonic
2025-03-23T12:48:56.749620image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24929
35.6%
222 492
 
0.7%
221 483
 
0.7%
255 479
 
0.7%
225 476
 
0.7%
224 467
 
0.7%
223 451
 
0.6%
220 441
 
0.6%
218 440
 
0.6%
215 438
 
0.6%
Other values (246) 40904
58.4%
ValueCountFrequency (%)
0 24929
35.6%
1 188
 
0.3%
2 153
 
0.2%
3 117
 
0.2%
4 75
 
0.1%
ValueCountFrequency (%)
255 479
0.7%
254 97
 
0.1%
253 87
 
0.1%
252 71
 
0.1%
251 77
 
0.1%

73
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.4185571
Minimum0
Maximum255
Zeros25379
Zeros (%)36.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:56.890212image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median98
Q3193
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)193

Descriptive statistics

Standard deviation92.88032272
Coefficient of variation (CV)0.9249318589
Kurtosis-1.628574056
Mean100.4185571
Median Absolute Deviation (MAD)98
Skewness0.1475565543
Sum7029299
Variance8626.754349
MonotonicityNot monotonic
2025-03-23T12:48:57.046386image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25379
36.3%
255 590
 
0.8%
221 421
 
0.6%
223 401
 
0.6%
222 394
 
0.6%
214 393
 
0.6%
220 389
 
0.6%
216 389
 
0.6%
218 386
 
0.6%
219 385
 
0.5%
Other values (246) 40873
58.4%
ValueCountFrequency (%)
0 25379
36.3%
1 271
 
0.4%
2 175
 
0.2%
3 149
 
0.2%
4 125
 
0.2%
ValueCountFrequency (%)
255 590
0.8%
254 117
 
0.2%
253 83
 
0.1%
252 80
 
0.1%
251 74
 
0.1%

74
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.67171429
Minimum0
Maximum255
Zeros27405
Zeros (%)39.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:57.186978image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median65
Q3181
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)181

Descriptive statistics

Standard deviation91.70275891
Coefficient of variation (CV)1.02264978
Kurtosis-1.460811417
Mean89.67171429
Median Absolute Deviation (MAD)65
Skewness0.3880924874
Sum6277020
Variance8409.395991
MonotonicityNot monotonic
2025-03-23T12:48:57.358818image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27405
39.1%
255 909
 
1.3%
1 342
 
0.5%
222 316
 
0.5%
225 316
 
0.5%
2 307
 
0.4%
220 305
 
0.4%
224 299
 
0.4%
213 296
 
0.4%
223 294
 
0.4%
Other values (246) 39211
56.0%
ValueCountFrequency (%)
0 27405
39.1%
1 342
 
0.5%
2 307
 
0.4%
3 237
 
0.3%
4 205
 
0.3%
ValueCountFrequency (%)
255 909
1.3%
254 180
 
0.3%
253 138
 
0.2%
252 128
 
0.2%
251 123
 
0.2%

75
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.22341429
Minimum0
Maximum255
Zeros33892
Zeros (%)48.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:57.515067image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q3134
95-th percentile228
Maximum255
Range255
Interquartile range (IQR)134

Descriptive statistics

Standard deviation83.87901429
Coefficient of variation (CV)1.286026118
Kurtosis-0.7520807827
Mean65.22341429
Median Absolute Deviation (MAD)3
Skewness0.8928965144
Sum4565639
Variance7035.689039
MonotonicityNot monotonic
2025-03-23T12:48:57.671276image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33892
48.4%
1 621
 
0.9%
2 453
 
0.6%
255 391
 
0.6%
3 337
 
0.5%
4 274
 
0.4%
5 246
 
0.4%
213 207
 
0.3%
6 202
 
0.3%
227 199
 
0.3%
Other values (246) 33178
47.4%
ValueCountFrequency (%)
0 33892
48.4%
1 621
 
0.9%
2 453
 
0.6%
3 337
 
0.5%
4 274
 
0.4%
ValueCountFrequency (%)
255 391
0.6%
254 85
 
0.1%
253 72
 
0.1%
252 63
 
0.1%
251 61
 
0.1%

76
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.32371429
Minimum0
Maximum255
Zeros43370
Zeros (%)62.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:57.874315image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q371
95-th percentile221
Maximum255
Range255
Interquartile range (IQR)71

Descriptive statistics

Standard deviation76.38194596
Coefficient of variation (CV)1.685253452
Kurtosis0.5662336731
Mean45.32371429
Median Absolute Deviation (MAD)0
Skewness1.446268237
Sum3172660
Variance5834.201669
MonotonicityNot monotonic
2025-03-23T12:48:58.093053image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43370
62.0%
1 911
 
1.3%
2 676
 
1.0%
3 510
 
0.7%
4 416
 
0.6%
5 301
 
0.4%
6 255
 
0.4%
255 222
 
0.3%
7 155
 
0.2%
230 138
 
0.2%
Other values (246) 23046
32.9%
ValueCountFrequency (%)
0 43370
62.0%
1 911
 
1.3%
2 676
 
1.0%
3 510
 
0.7%
4 416
 
0.6%
ValueCountFrequency (%)
255 222
0.3%
254 53
 
0.1%
253 53
 
0.1%
252 68
 
0.1%
251 51
 
0.1%

77
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.67551429
Minimum0
Maximum255
Zeros49658
Zeros (%)70.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:58.249269image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile206
Maximum255
Range255
Interquartile range (IQR)4

Descriptive statistics

Standard deviation67.77776052
Coefficient of variation (CV)2.074267598
Kurtosis2.353526907
Mean32.67551429
Median Absolute Deviation (MAD)0
Skewness1.946822454
Sum2287286
Variance4593.824821
MonotonicityNot monotonic
2025-03-23T12:48:58.405477image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 49658
70.9%
1 1343
 
1.9%
2 832
 
1.2%
3 530
 
0.8%
4 411
 
0.6%
5 260
 
0.4%
255 211
 
0.3%
6 174
 
0.2%
8 122
 
0.2%
7 118
 
0.2%
Other values (246) 16341
 
23.3%
ValueCountFrequency (%)
0 49658
70.9%
1 1343
 
1.9%
2 832
 
1.2%
3 530
 
0.8%
4 411
 
0.6%
ValueCountFrequency (%)
255 211
0.3%
254 43
 
0.1%
253 39
 
0.1%
252 43
 
0.1%
251 38
 
0.1%

78
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.36895714
Minimum0
Maximum255
Zeros54279
Zeros (%)77.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:58.655383image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile163
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation52.19097457
Coefficient of variation (CV)2.694568127
Kurtosis7.218107233
Mean19.36895714
Median Absolute Deviation (MAD)0
Skewness2.858595561
Sum1355827
Variance2723.897826
MonotonicityNot monotonic
2025-03-23T12:48:58.953850image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54279
77.5%
1 1956
 
2.8%
2 1045
 
1.5%
3 549
 
0.8%
4 313
 
0.4%
5 182
 
0.3%
6 144
 
0.2%
255 126
 
0.2%
7 104
 
0.1%
9 90
 
0.1%
Other values (246) 11212
 
16.0%
ValueCountFrequency (%)
0 54279
77.5%
1 1956
 
2.8%
2 1045
 
1.5%
3 549
 
0.8%
4 313
 
0.4%
ValueCountFrequency (%)
255 126
0.2%
254 16
 
< 0.1%
253 13
 
< 0.1%
252 25
 
< 0.1%
251 14
 
< 0.1%

79
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.744485714
Minimum0
Maximum255
Zeros60536
Zeros (%)86.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:59.203826image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile64
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation36.35675683
Coefficient of variation (CV)4.157678109
Kurtosis22.58679661
Mean8.744485714
Median Absolute Deviation (MAD)0
Skewness4.738534775
Sum612114
Variance1321.813767
MonotonicityNot monotonic
2025-03-23T12:48:59.438128image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60536
86.5%
1 2247
 
3.2%
2 861
 
1.2%
3 389
 
0.6%
4 206
 
0.3%
5 118
 
0.2%
6 112
 
0.2%
7 80
 
0.1%
255 77
 
0.1%
14 63
 
0.1%
Other values (246) 5311
 
7.6%
ValueCountFrequency (%)
0 60536
86.5%
1 2247
 
3.2%
2 861
 
1.2%
3 389
 
0.6%
4 206
 
0.3%
ValueCountFrequency (%)
255 77
0.1%
254 14
 
< 0.1%
253 9
 
< 0.1%
252 13
 
< 0.1%
251 8
 
< 0.1%

80
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.777757143
Minimum0
Maximum255
Zeros64610
Zeros (%)92.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:48:59.703730image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27.98781441
Coefficient of variation (CV)5.857939944
Kurtosis44.28598945
Mean4.777757143
Median Absolute Deviation (MAD)0
Skewness6.578139829
Sum334443
Variance783.3177555
MonotonicityNot monotonic
2025-03-23T12:48:59.984854image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64610
92.3%
1 1436
 
2.1%
2 612
 
0.9%
3 344
 
0.5%
4 199
 
0.3%
5 96
 
0.1%
6 59
 
0.1%
7 48
 
0.1%
255 47
 
0.1%
10 25
 
< 0.1%
Other values (246) 2524
 
3.6%
ValueCountFrequency (%)
0 64610
92.3%
1 1436
 
2.1%
2 612
 
0.9%
3 344
 
0.5%
4 199
 
0.3%
ValueCountFrequency (%)
255 47
0.1%
254 7
 
< 0.1%
253 3
 
< 0.1%
252 10
 
< 0.1%
251 4
 
< 0.1%

81
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.640842857
Minimum0
Maximum255
Zeros66550
Zeros (%)95.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:00.172344image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.36840421
Coefficient of variation (CV)7.712842191
Kurtosis84.03908974
Mean2.640842857
Median Absolute Deviation (MAD)0
Skewness8.937038976
Sum184859
Variance414.87189
MonotonicityNot monotonic
2025-03-23T12:49:00.359771image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66550
95.1%
1 991
 
1.4%
2 419
 
0.6%
3 181
 
0.3%
4 133
 
0.2%
5 70
 
0.1%
6 57
 
0.1%
7 29
 
< 0.1%
9 26
 
< 0.1%
8 22
 
< 0.1%
Other values (245) 1522
 
2.2%
ValueCountFrequency (%)
0 66550
95.1%
1 991
 
1.4%
2 419
 
0.6%
3 181
 
0.3%
4 133
 
0.2%
ValueCountFrequency (%)
255 21
< 0.1%
254 5
 
< 0.1%
253 5
 
< 0.1%
252 2
 
< 0.1%
251 2
 
< 0.1%

82
Real number (ℝ)

Zeros 

Distinct221
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.138342857
Minimum0
Maximum255
Zeros68308
Zeros (%)97.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:00.594127image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.91909395
Coefficient of variation (CV)11.3490359
Kurtosis207.1090924
Mean1.138342857
Median Absolute Deviation (MAD)0
Skewness13.8093084
Sum79684
Variance166.9029884
MonotonicityNot monotonic
2025-03-23T12:49:00.844062image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68308
97.6%
1 412
 
0.6%
2 190
 
0.3%
3 107
 
0.2%
4 76
 
0.1%
5 59
 
0.1%
6 43
 
0.1%
8 30
 
< 0.1%
7 21
 
< 0.1%
255 16
 
< 0.1%
Other values (211) 738
 
1.1%
ValueCountFrequency (%)
0 68308
97.6%
1 412
 
0.6%
2 190
 
0.3%
3 107
 
0.2%
4 76
 
0.1%
ValueCountFrequency (%)
255 16
< 0.1%
254 3
 
< 0.1%
252 1
 
< 0.1%
247 2
 
< 0.1%
244 2
 
< 0.1%

83
Real number (ℝ)

Skewed  Zeros 

Distinct115
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2328142857
Minimum0
Maximum211
Zeros69269
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:01.187694image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum211
Range211
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.550380724
Coefficient of variation (CV)19.54510957
Kurtosis782.4251909
Mean0.2328142857
Median Absolute Deviation (MAD)0
Skewness26.08106091
Sum16297
Variance20.70596474
MonotonicityNot monotonic
2025-03-23T12:49:01.453257image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69269
99.0%
1 210
 
0.3%
2 121
 
0.2%
3 67
 
0.1%
4 40
 
0.1%
5 26
 
< 0.1%
6 18
 
< 0.1%
27 7
 
< 0.1%
13 7
 
< 0.1%
14 6
 
< 0.1%
Other values (105) 229
 
0.3%
ValueCountFrequency (%)
0 69269
99.0%
1 210
 
0.3%
2 121
 
0.2%
3 67
 
0.1%
4 40
 
0.1%
ValueCountFrequency (%)
211 1
< 0.1%
195 1
< 0.1%
185 2
< 0.1%
184 1
< 0.1%
183 2
< 0.1%

84
Real number (ℝ)

Skewed  Zeros 

Distinct52
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0578
Minimum0
Maximum206
Zeros69594
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:01.718817image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum206
Range206
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.276059633
Coefficient of variation (CV)39.37819434
Kurtosis4121.641372
Mean0.0578
Median Absolute Deviation (MAD)0
Skewness60.64890573
Sum4046
Variance5.180447452
MonotonicityNot monotonic
2025-03-23T12:49:01.953136image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69594
99.4%
1 179
 
0.3%
2 78
 
0.1%
4 27
 
< 0.1%
3 25
 
< 0.1%
5 18
 
< 0.1%
6 16
 
< 0.1%
7 6
 
< 0.1%
8 5
 
< 0.1%
16 3
 
< 0.1%
Other values (42) 49
 
0.1%
ValueCountFrequency (%)
0 69594
99.4%
1 179
 
0.3%
2 78
 
0.1%
3 25
 
< 0.1%
4 27
 
< 0.1%
ValueCountFrequency (%)
206 1
< 0.1%
189 1
< 0.1%
169 1
< 0.1%
167 1
< 0.1%
158 1
< 0.1%

85
Real number (ℝ)

Skewed  Zeros 

Distinct120
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2344714286
Minimum0
Maximum255
Zeros69219
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:02.203081image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.66348794
Coefficient of variation (CV)24.15427745
Kurtosis1148.09754
Mean0.2344714286
Median Absolute Deviation (MAD)0
Skewness32.24932316
Sum16413
Variance32.07509565
MonotonicityNot monotonic
2025-03-23T12:49:02.401564image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69219
98.9%
1 290
 
0.4%
2 139
 
0.2%
3 66
 
0.1%
4 49
 
0.1%
5 33
 
< 0.1%
6 18
 
< 0.1%
7 15
 
< 0.1%
8 8
 
< 0.1%
13 6
 
< 0.1%
Other values (110) 157
 
0.2%
ValueCountFrequency (%)
0 69219
98.9%
1 290
 
0.4%
2 139
 
0.2%
3 66
 
0.1%
4 49
 
0.1%
ValueCountFrequency (%)
255 3
< 0.1%
251 1
 
< 0.1%
248 1
 
< 0.1%
246 2
< 0.1%
243 1
 
< 0.1%

86
Real number (ℝ)

Zeros 

Distinct182
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5647
Minimum0
Maximum255
Zeros67975
Zeros (%)97.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:02.567011image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.493033368
Coefficient of variation (CV)15.03990325
Kurtosis427.3727393
Mean0.5647
Median Absolute Deviation (MAD)0
Skewness19.72284152
Sum39529
Variance72.13161579
MonotonicityNot monotonic
2025-03-23T12:49:02.715817image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67975
97.1%
1 770
 
1.1%
2 378
 
0.5%
3 212
 
0.3%
4 128
 
0.2%
5 80
 
0.1%
6 30
 
< 0.1%
7 20
 
< 0.1%
8 15
 
< 0.1%
9 11
 
< 0.1%
Other values (172) 381
 
0.5%
ValueCountFrequency (%)
0 67975
97.1%
1 770
 
1.1%
2 378
 
0.5%
3 212
 
0.3%
4 128
 
0.2%
ValueCountFrequency (%)
255 1
< 0.1%
248 1
< 0.1%
240 1
< 0.1%
239 2
< 0.1%
238 1
< 0.1%

87
Real number (ℝ)

Zeros 

Distinct240
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4475
Minimum0
Maximum255
Zeros66240
Zeros (%)94.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:02.881832image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.87120526
Coefficient of variation (CV)9.582870645
Kurtosis159.9924521
Mean1.4475
Median Absolute Deviation (MAD)0
Skewness12.12486778
Sum101325
Variance192.4103353
MonotonicityNot monotonic
2025-03-23T12:49:03.070420image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66240
94.6%
1 1332
 
1.9%
2 656
 
0.9%
3 332
 
0.5%
4 187
 
0.3%
5 91
 
0.1%
6 72
 
0.1%
7 52
 
0.1%
8 31
 
< 0.1%
9 17
 
< 0.1%
Other values (230) 990
 
1.4%
ValueCountFrequency (%)
0 66240
94.6%
1 1332
 
1.9%
2 656
 
0.9%
3 332
 
0.5%
4 187
 
0.3%
ValueCountFrequency (%)
255 1
 
< 0.1%
254 3
< 0.1%
251 1
 
< 0.1%
247 1
 
< 0.1%
246 1
 
< 0.1%

88
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.989542857
Minimum0
Maximum255
Zeros61702
Zeros (%)88.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:03.231588image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile30
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27.95982733
Coefficient of variation (CV)4.668107065
Kurtosis33.15393306
Mean5.989542857
Median Absolute Deviation (MAD)0
Skewness5.60329269
Sum419268
Variance781.7519442
MonotonicityNot monotonic
2025-03-23T12:49:03.415347image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 61702
88.1%
1 1823
 
2.6%
2 923
 
1.3%
3 499
 
0.7%
4 264
 
0.4%
5 159
 
0.2%
6 104
 
0.1%
7 71
 
0.1%
12 61
 
0.1%
9 59
 
0.1%
Other values (246) 4335
 
6.2%
ValueCountFrequency (%)
0 61702
88.1%
1 1823
 
2.6%
2 923
 
1.3%
3 499
 
0.7%
4 264
 
0.4%
ValueCountFrequency (%)
255 11
< 0.1%
254 3
 
< 0.1%
253 4
 
< 0.1%
252 2
 
< 0.1%
251 4
 
< 0.1%

89
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.48467143
Minimum0
Maximum255
Zeros56099
Zeros (%)80.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:03.946471image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile165.05
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation52.59897503
Coefficient of variation (CV)2.699505364
Kurtosis6.889712094
Mean19.48467143
Median Absolute Deviation (MAD)0
Skewness2.814305927
Sum1363927
Variance2766.652174
MonotonicityNot monotonic
2025-03-23T12:49:04.102721image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56099
80.1%
1 1229
 
1.8%
2 650
 
0.9%
3 351
 
0.5%
4 196
 
0.3%
5 126
 
0.2%
6 101
 
0.1%
9 80
 
0.1%
14 80
 
0.1%
7 78
 
0.1%
Other values (246) 11010
 
15.7%
ValueCountFrequency (%)
0 56099
80.1%
1 1229
 
1.8%
2 650
 
0.9%
3 351
 
0.5%
4 196
 
0.3%
ValueCountFrequency (%)
255 55
0.1%
254 12
 
< 0.1%
253 19
 
< 0.1%
252 21
 
< 0.1%
251 14
 
< 0.1%

90
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.79655714
Minimum0
Maximum255
Zeros49388
Zeros (%)70.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:04.274519image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q317
95-th percentile207
Maximum255
Range255
Interquartile range (IQR)17

Descriptive statistics

Standard deviation68.73236521
Coefficient of variation (CV)1.975263384
Kurtosis1.907764931
Mean34.79655714
Median Absolute Deviation (MAD)0
Skewness1.831100321
Sum2435759
Variance4724.138027
MonotonicityNot monotonic
2025-03-23T12:49:04.508841image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 49388
70.6%
1 826
 
1.2%
2 509
 
0.7%
3 344
 
0.5%
4 199
 
0.3%
5 167
 
0.2%
6 127
 
0.2%
7 117
 
0.2%
255 114
 
0.2%
199 109
 
0.2%
Other values (246) 18100
 
25.9%
ValueCountFrequency (%)
0 49388
70.6%
1 826
 
1.2%
2 509
 
0.7%
3 344
 
0.5%
4 199
 
0.3%
ValueCountFrequency (%)
255 114
0.2%
254 48
0.1%
253 25
 
< 0.1%
252 38
 
0.1%
251 44
 
0.1%

91
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.50717143
Minimum0
Maximum255
Zeros42601
Zeros (%)60.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:04.758782image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q394
95-th percentile217
Maximum255
Range255
Interquartile range (IQR)94

Descriptive statistics

Standard deviation77.46198725
Coefficient of variation (CV)1.564661947
Kurtosis0.03717495476
Mean49.50717143
Median Absolute Deviation (MAD)0
Skewness1.25903428
Sum3465502
Variance6000.359468
MonotonicityNot monotonic
2025-03-23T12:49:04.914994image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42601
60.9%
1 673
 
1.0%
2 477
 
0.7%
3 327
 
0.5%
4 248
 
0.4%
5 183
 
0.3%
215 165
 
0.2%
219 164
 
0.2%
225 163
 
0.2%
222 157
 
0.2%
Other values (246) 24842
35.5%
ValueCountFrequency (%)
0 42601
60.9%
1 673
 
1.0%
2 477
 
0.7%
3 327
 
0.5%
4 248
 
0.4%
ValueCountFrequency (%)
255 135
0.2%
254 36
 
0.1%
253 39
 
0.1%
252 39
 
0.1%
251 33
 
< 0.1%

92
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.10884286
Minimum0
Maximum255
Zeros36963
Zeros (%)52.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:05.055623image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3142
95-th percentile225
Maximum255
Range255
Interquartile range (IQR)142

Descriptive statistics

Standard deviation85.2113883
Coefficient of variation (CV)1.308752921
Kurtosis-0.9127711145
Mean65.10884286
Median Absolute Deviation (MAD)0
Skewness0.8448782447
Sum4557619
Variance7260.980696
MonotonicityNot monotonic
2025-03-23T12:49:05.211840image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36963
52.8%
1 651
 
0.9%
2 387
 
0.6%
3 273
 
0.4%
222 252
 
0.4%
227 242
 
0.3%
214 240
 
0.3%
215 231
 
0.3%
4 231
 
0.3%
226 231
 
0.3%
Other values (246) 30299
43.3%
ValueCountFrequency (%)
0 36963
52.8%
1 651
 
0.9%
2 387
 
0.6%
3 273
 
0.4%
4 231
 
0.3%
ValueCountFrequency (%)
255 186
0.3%
254 44
 
0.1%
253 37
 
0.1%
252 43
 
0.1%
251 54
 
0.1%

93
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.31437143
Minimum0
Maximum255
Zeros29054
Zeros (%)41.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:05.352427image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median51
Q3174
95-th percentile231
Maximum255
Range255
Interquartile range (IQR)174

Descriptive statistics

Standard deviation90.18965209
Coefficient of variation (CV)1.069683028
Kurtosis-1.424459046
Mean84.31437143
Median Absolute Deviation (MAD)51
Skewness0.45275056
Sum5902006
Variance8134.173345
MonotonicityNot monotonic
2025-03-23T12:49:05.508645image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29054
41.5%
1 804
 
1.1%
255 462
 
0.7%
2 406
 
0.6%
220 324
 
0.5%
225 324
 
0.5%
226 321
 
0.5%
221 316
 
0.5%
227 311
 
0.4%
224 310
 
0.4%
Other values (246) 37368
53.4%
ValueCountFrequency (%)
0 29054
41.5%
1 804
 
1.1%
2 406
 
0.6%
3 300
 
0.4%
4 261
 
0.4%
ValueCountFrequency (%)
255 462
0.7%
254 76
 
0.1%
253 81
 
0.1%
252 54
 
0.1%
251 53
 
0.1%

94
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.28934286
Minimum0
Maximum255
Zeros25963
Zeros (%)37.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:05.664816image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median91
Q3195
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)195

Descriptive statistics

Standard deviation94.40331801
Coefficient of variation (CV)0.9507900374
Kurtosis-1.629683798
Mean99.28934286
Median Absolute Deviation (MAD)91
Skewness0.1908398195
Sum6950254
Variance8911.986452
MonotonicityNot monotonic
2025-03-23T12:49:05.821067image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25963
37.1%
255 968
 
1.4%
1 519
 
0.7%
225 429
 
0.6%
222 411
 
0.6%
221 410
 
0.6%
226 404
 
0.6%
220 400
 
0.6%
228 400
 
0.6%
224 394
 
0.6%
Other values (246) 39702
56.7%
ValueCountFrequency (%)
0 25963
37.1%
1 519
 
0.7%
2 286
 
0.4%
3 209
 
0.3%
4 222
 
0.3%
ValueCountFrequency (%)
255 968
1.4%
254 146
 
0.2%
253 124
 
0.2%
252 96
 
0.1%
251 96
 
0.1%

95
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.1033143
Minimum0
Maximum255
Zeros24792
Zeros (%)35.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:05.977289image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median103
Q3196
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)196

Descriptive statistics

Standard deviation93.15832785
Coefficient of variation (CV)0.9123927906
Kurtosis-1.666600654
Mean102.1033143
Median Absolute Deviation (MAD)103
Skewness0.1020447639
Sum7147232
Variance8678.474047
MonotonicityNot monotonic
2025-03-23T12:49:06.117875image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24792
35.4%
224 507
 
0.7%
1 493
 
0.7%
225 487
 
0.7%
226 464
 
0.7%
221 464
 
0.7%
222 462
 
0.7%
220 458
 
0.7%
217 448
 
0.6%
218 438
 
0.6%
Other values (246) 40987
58.6%
ValueCountFrequency (%)
0 24792
35.4%
1 493
 
0.7%
2 285
 
0.4%
3 208
 
0.3%
4 161
 
0.2%
ValueCountFrequency (%)
255 237
0.3%
254 74
 
0.1%
253 47
 
0.1%
252 41
 
0.1%
251 44
 
0.1%

96
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.4150714
Minimum0
Maximum255
Zeros24624
Zeros (%)35.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:06.274089image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median109
Q3200
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)200

Descriptive statistics

Standard deviation94.38762011
Coefficient of variation (CV)0.9039654795
Kurtosis-1.672971878
Mean104.4150714
Median Absolute Deviation (MAD)109
Skewness0.0790469011
Sum7309055
Variance8909.02283
MonotonicityNot monotonic
2025-03-23T12:49:06.414641image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24624
35.2%
229 497
 
0.7%
227 490
 
0.7%
226 474
 
0.7%
228 473
 
0.7%
217 465
 
0.7%
222 465
 
0.7%
225 459
 
0.7%
1 454
 
0.6%
218 452
 
0.6%
Other values (246) 41147
58.8%
ValueCountFrequency (%)
0 24624
35.2%
1 454
 
0.6%
2 280
 
0.4%
3 181
 
0.3%
4 153
 
0.2%
ValueCountFrequency (%)
255 391
0.6%
254 86
 
0.1%
253 86
 
0.1%
252 66
 
0.1%
251 80
 
0.1%

97
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.7264286
Minimum0
Maximum255
Zeros24329
Zeros (%)34.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:06.570890image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median112
Q3202
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)202

Descriptive statistics

Standard deviation95.65469467
Coefficient of variation (CV)0.9047377838
Kurtosis-1.689137653
Mean105.7264286
Median Absolute Deviation (MAD)110
Skewness0.06690003433
Sum7400850
Variance9149.820613
MonotonicityNot monotonic
2025-03-23T12:49:06.711445image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24329
34.8%
1 575
 
0.8%
255 511
 
0.7%
229 493
 
0.7%
227 478
 
0.7%
225 474
 
0.7%
221 471
 
0.7%
223 470
 
0.7%
228 463
 
0.7%
224 456
 
0.7%
Other values (246) 41280
59.0%
ValueCountFrequency (%)
0 24329
34.8%
1 575
 
0.8%
2 395
 
0.6%
3 318
 
0.5%
4 243
 
0.3%
ValueCountFrequency (%)
255 511
0.7%
254 131
 
0.2%
253 96
 
0.1%
252 110
 
0.2%
251 102
 
0.1%

98
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.6839429
Minimum0
Maximum255
Zeros24229
Zeros (%)34.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:06.898942image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median114
Q3202
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)202

Descriptive statistics

Standard deviation95.82982707
Coefficient of variation (CV)0.8982591429
Kurtosis-1.68481621
Mean106.6839429
Median Absolute Deviation (MAD)110
Skewness0.05452470239
Sum7467876
Variance9183.355756
MonotonicityNot monotonic
2025-03-23T12:49:07.055151image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24229
34.6%
255 698
 
1.0%
1 582
 
0.8%
225 473
 
0.7%
217 463
 
0.7%
224 454
 
0.6%
222 445
 
0.6%
228 445
 
0.6%
227 443
 
0.6%
226 440
 
0.6%
Other values (246) 41328
59.0%
ValueCountFrequency (%)
0 24229
34.6%
1 582
 
0.8%
2 400
 
0.6%
3 292
 
0.4%
4 183
 
0.3%
ValueCountFrequency (%)
255 698
1.0%
254 223
 
0.3%
253 112
 
0.2%
252 127
 
0.2%
251 116
 
0.2%

99
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.1695429
Minimum0
Maximum255
Zeros23409
Zeros (%)33.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:07.195706image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median115
Q3202
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)202

Descriptive statistics

Standard deviation94.3811523
Coefficient of variation (CV)0.8806714089
Kurtosis-1.669459646
Mean107.1695429
Median Absolute Deviation (MAD)106
Skewness0.03505107372
Sum7501868
Variance8907.80191
MonotonicityNot monotonic
2025-03-23T12:49:07.351955image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23409
33.4%
219 498
 
0.7%
255 490
 
0.7%
227 470
 
0.7%
224 467
 
0.7%
228 464
 
0.7%
229 463
 
0.7%
222 458
 
0.7%
230 456
 
0.7%
226 453
 
0.6%
Other values (246) 42372
60.5%
ValueCountFrequency (%)
0 23409
33.4%
1 410
 
0.6%
2 355
 
0.5%
3 228
 
0.3%
4 176
 
0.3%
ValueCountFrequency (%)
255 490
0.7%
254 107
 
0.2%
253 94
 
0.1%
252 89
 
0.1%
251 93
 
0.1%

100
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.4715
Minimum0
Maximum255
Zeros23039
Zeros (%)32.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:07.508169image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median114
Q3199
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)199

Descriptive statistics

Standard deviation92.45884148
Coefficient of variation (CV)0.8683905222
Kurtosis-1.649986578
Mean106.4715
Median Absolute Deviation (MAD)103
Skewness0.02815697638
Sum7453005
Variance8548.637368
MonotonicityNot monotonic
2025-03-23T12:49:07.664383image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23039
32.9%
222 507
 
0.7%
225 492
 
0.7%
220 483
 
0.7%
223 478
 
0.7%
217 469
 
0.7%
221 466
 
0.7%
227 464
 
0.7%
228 454
 
0.6%
224 447
 
0.6%
Other values (246) 42701
61.0%
ValueCountFrequency (%)
0 23039
32.9%
1 265
 
0.4%
2 216
 
0.3%
3 173
 
0.2%
4 143
 
0.2%
ValueCountFrequency (%)
255 315
0.4%
254 63
 
0.1%
253 58
 
0.1%
252 67
 
0.1%
251 49
 
0.1%

101
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.7436286
Minimum0
Maximum255
Zeros23029
Zeros (%)32.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:07.805008image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median109
Q3196
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)196

Descriptive statistics

Standard deviation91.69944337
Coefficient of variation (CV)0.8754655974
Kurtosis-1.636206966
Mean104.7436286
Median Absolute Deviation (MAD)105
Skewness0.05822812362
Sum7332054
Variance8408.787914
MonotonicityNot monotonic
2025-03-23T12:49:07.961190image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23029
32.9%
224 472
 
0.7%
226 469
 
0.7%
217 468
 
0.7%
223 461
 
0.7%
221 453
 
0.6%
220 452
 
0.6%
215 441
 
0.6%
216 439
 
0.6%
225 439
 
0.6%
Other values (246) 42877
61.3%
ValueCountFrequency (%)
0 23029
32.9%
1 247
 
0.4%
2 200
 
0.3%
3 150
 
0.2%
4 132
 
0.2%
ValueCountFrequency (%)
255 376
0.5%
254 66
 
0.1%
253 56
 
0.1%
252 60
 
0.1%
251 65
 
0.1%

102
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.731
Minimum0
Maximum255
Zeros23989
Zeros (%)34.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:08.101782image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median97
Q3193
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)193

Descriptive statistics

Standard deviation92.24476012
Coefficient of variation (CV)0.9157534435
Kurtosis-1.591816801
Mean100.731
Median Absolute Deviation (MAD)97
Skewness0.1633185192
Sum7051170
Variance8509.095769
MonotonicityNot monotonic
2025-03-23T12:49:08.257998image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23989
34.3%
255 847
 
1.2%
222 420
 
0.6%
226 411
 
0.6%
221 406
 
0.6%
224 390
 
0.6%
217 378
 
0.5%
223 377
 
0.5%
216 373
 
0.5%
227 371
 
0.5%
Other values (246) 42038
60.1%
ValueCountFrequency (%)
0 23989
34.3%
1 344
 
0.5%
2 231
 
0.3%
3 206
 
0.3%
4 143
 
0.2%
ValueCountFrequency (%)
255 847
1.2%
254 170
 
0.2%
253 118
 
0.2%
252 98
 
0.1%
251 95
 
0.1%

103
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.29267143
Minimum0
Maximum255
Zeros28374
Zeros (%)40.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:08.398583image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median54
Q3170
95-th percentile229
Maximum255
Range255
Interquartile range (IQR)170

Descriptive statistics

Standard deviation88.20783425
Coefficient of variation (CV)1.059010748
Kurtosis-1.372777987
Mean83.29267143
Median Absolute Deviation (MAD)54
Skewness0.469313728
Sum5830487
Variance7780.622024
MonotonicityNot monotonic
2025-03-23T12:49:08.570381image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28374
40.5%
1 501
 
0.7%
2 338
 
0.5%
255 334
 
0.5%
222 304
 
0.4%
220 303
 
0.4%
226 302
 
0.4%
225 299
 
0.4%
219 296
 
0.4%
217 290
 
0.4%
Other values (246) 38659
55.2%
ValueCountFrequency (%)
0 28374
40.5%
1 501
 
0.7%
2 338
 
0.5%
3 284
 
0.4%
4 191
 
0.3%
ValueCountFrequency (%)
255 334
0.5%
254 60
 
0.1%
253 60
 
0.1%
252 67
 
0.1%
251 57
 
0.1%

104
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.60438571
Minimum0
Maximum255
Zeros36341
Zeros (%)51.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:08.726594image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3136
95-th percentile224
Maximum255
Range255
Interquartile range (IQR)136

Descriptive statistics

Standard deviation83.90534321
Coefficient of variation (CV)1.319175435
Kurtosis-0.8120748034
Mean63.60438571
Median Absolute Deviation (MAD)0
Skewness0.8860843971
Sum4452307
Variance7040.106619
MonotonicityNot monotonic
2025-03-23T12:49:08.867229image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36341
51.9%
1 710
 
1.0%
2 495
 
0.7%
3 366
 
0.5%
4 281
 
0.4%
255 260
 
0.4%
5 227
 
0.3%
224 216
 
0.3%
214 213
 
0.3%
219 212
 
0.3%
Other values (246) 30679
43.8%
ValueCountFrequency (%)
0 36341
51.9%
1 710
 
1.0%
2 495
 
0.7%
3 366
 
0.5%
4 281
 
0.4%
ValueCountFrequency (%)
255 260
0.4%
254 54
 
0.1%
253 36
 
0.1%
252 38
 
0.1%
251 49
 
0.1%

105
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.77311429
Minimum0
Maximum255
Zeros42542
Zeros (%)60.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:09.007815image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q384.25
95-th percentile219
Maximum255
Range255
Interquartile range (IQR)84.25

Descriptive statistics

Standard deviation77.22930726
Coefficient of variation (CV)1.616585153
Kurtosis0.2680583527
Mean47.77311429
Median Absolute Deviation (MAD)0
Skewness1.343792419
Sum3344118
Variance5964.3659
MonotonicityNot monotonic
2025-03-23T12:49:09.163991image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42542
60.8%
1 986
 
1.4%
2 625
 
0.9%
3 438
 
0.6%
4 310
 
0.4%
255 240
 
0.3%
5 222
 
0.3%
6 177
 
0.3%
221 163
 
0.2%
212 155
 
0.2%
Other values (246) 24142
34.5%
ValueCountFrequency (%)
0 42542
60.8%
1 986
 
1.4%
2 625
 
0.9%
3 438
 
0.6%
4 310
 
0.4%
ValueCountFrequency (%)
255 240
0.3%
254 46
 
0.1%
253 39
 
0.1%
252 42
 
0.1%
251 41
 
0.1%

106
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.86838571
Minimum0
Maximum255
Zeros49580
Zeros (%)70.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:09.632667image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile206
Maximum255
Range255
Interquartile range (IQR)6

Descriptive statistics

Standard deviation67.51435833
Coefficient of variation (CV)2.054081965
Kurtosis2.330166869
Mean32.86838571
Median Absolute Deviation (MAD)0
Skewness1.938183783
Sum2300787
Variance4558.18858
MonotonicityNot monotonic
2025-03-23T12:49:09.788896image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 49580
70.8%
1 1271
 
1.8%
2 723
 
1.0%
3 410
 
0.6%
4 265
 
0.4%
5 180
 
0.3%
255 170
 
0.2%
6 166
 
0.2%
7 133
 
0.2%
15 103
 
0.1%
Other values (246) 16999
 
24.3%
ValueCountFrequency (%)
0 49580
70.8%
1 1271
 
1.8%
2 723
 
1.0%
3 410
 
0.6%
4 265
 
0.4%
ValueCountFrequency (%)
255 170
0.2%
254 42
 
0.1%
253 27
 
< 0.1%
252 26
 
< 0.1%
251 42
 
0.1%

107
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.73714286
Minimum0
Maximum255
Zeros56216
Zeros (%)80.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:09.945091image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile161
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation50.89060386
Coefficient of variation (CV)2.869154535
Kurtosis8.34347924
Mean17.73714286
Median Absolute Deviation (MAD)0
Skewness3.051042712
Sum1241600
Variance2589.853561
MonotonicityNot monotonic
2025-03-23T12:49:10.085685image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56216
80.3%
1 1567
 
2.2%
2 835
 
1.2%
3 430
 
0.6%
4 246
 
0.4%
5 150
 
0.2%
6 139
 
0.2%
7 100
 
0.1%
255 96
 
0.1%
17 89
 
0.1%
Other values (246) 10132
 
14.5%
ValueCountFrequency (%)
0 56216
80.3%
1 1567
 
2.2%
2 835
 
1.2%
3 430
 
0.6%
4 246
 
0.4%
ValueCountFrequency (%)
255 96
0.1%
254 19
 
< 0.1%
253 17
 
< 0.1%
252 11
 
< 0.1%
251 16
 
< 0.1%

108
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.7534
Minimum0
Maximum255
Zeros61580
Zeros (%)88.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:10.241864image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile61
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation37.22528613
Coefficient of variation (CV)4.25266595
Kurtosis21.72334773
Mean8.7534
Median Absolute Deviation (MAD)0
Skewness4.690413908
Sum612738
Variance1385.721927
MonotonicityNot monotonic
2025-03-23T12:49:10.413733image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 61580
88.0%
1 1640
 
2.3%
2 830
 
1.2%
3 499
 
0.7%
4 233
 
0.3%
5 150
 
0.2%
6 88
 
0.1%
255 65
 
0.1%
7 54
 
0.1%
11 49
 
0.1%
Other values (246) 4812
 
6.9%
ValueCountFrequency (%)
0 61580
88.0%
1 1640
 
2.3%
2 830
 
1.2%
3 499
 
0.7%
4 233
 
0.3%
ValueCountFrequency (%)
255 65
0.1%
254 11
 
< 0.1%
253 7
 
< 0.1%
252 8
 
< 0.1%
251 7
 
< 0.1%

109
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.708628571
Minimum0
Maximum255
Zeros65036
Zeros (%)92.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:10.554329image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27.19036397
Coefficient of variation (CV)5.774582463
Kurtosis43.83835957
Mean4.708628571
Median Absolute Deviation (MAD)0
Skewness6.526350656
Sum329604
Variance739.3158929
MonotonicityNot monotonic
2025-03-23T12:49:10.710538image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65036
92.9%
1 1027
 
1.5%
2 483
 
0.7%
3 297
 
0.4%
4 168
 
0.2%
5 126
 
0.2%
6 85
 
0.1%
7 47
 
0.1%
8 36
 
0.1%
9 32
 
< 0.1%
Other values (246) 2663
 
3.8%
ValueCountFrequency (%)
0 65036
92.9%
1 1027
 
1.5%
2 483
 
0.7%
3 297
 
0.4%
4 168
 
0.2%
ValueCountFrequency (%)
255 27
< 0.1%
254 3
 
< 0.1%
253 1
 
< 0.1%
252 6
 
< 0.1%
251 1
 
< 0.1%

110
Real number (ℝ)

Zeros 

Distinct253
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.172428571
Minimum0
Maximum255
Zeros67190
Zeros (%)96.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:10.876126image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18.18232477
Coefficient of variation (CV)8.369584625
Kurtosis105.1067716
Mean2.172428571
Median Absolute Deviation (MAD)0
Skewness9.924504144
Sum152070
Variance330.5969341
MonotonicityNot monotonic
2025-03-23T12:49:11.063612image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67190
96.0%
1 652
 
0.9%
2 289
 
0.4%
3 196
 
0.3%
4 114
 
0.2%
5 73
 
0.1%
6 54
 
0.1%
7 36
 
0.1%
255 24
 
< 0.1%
8 24
 
< 0.1%
Other values (243) 1348
 
1.9%
ValueCountFrequency (%)
0 67190
96.0%
1 652
 
0.9%
2 289
 
0.4%
3 196
 
0.3%
4 114
 
0.2%
ValueCountFrequency (%)
255 24
< 0.1%
254 6
 
< 0.1%
253 4
 
< 0.1%
252 1
 
< 0.1%
250 2
 
< 0.1%

111
Real number (ℝ)

Zeros 

Distinct162
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4928428571
Minimum0
Maximum212
Zeros68670
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:11.204217image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum212
Range212
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.842246113
Coefficient of variation (CV)13.88322061
Kurtosis361.975705
Mean0.4928428571
Median Absolute Deviation (MAD)0
Skewness17.90810054
Sum34499
Variance46.81633187
MonotonicityNot monotonic
2025-03-23T12:49:11.360421image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68670
98.1%
1 364
 
0.5%
2 210
 
0.3%
3 119
 
0.2%
4 72
 
0.1%
5 47
 
0.1%
6 34
 
< 0.1%
8 13
 
< 0.1%
7 12
 
< 0.1%
19 9
 
< 0.1%
Other values (152) 450
 
0.6%
ValueCountFrequency (%)
0 68670
98.1%
1 364
 
0.5%
2 210
 
0.3%
3 119
 
0.2%
4 72
 
0.1%
ValueCountFrequency (%)
212 1
< 0.1%
210 1
< 0.1%
207 1
< 0.1%
205 1
< 0.1%
200 1
< 0.1%

112
Real number (ℝ)

Skewed  Zeros 

Distinct87
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1203
Minimum0
Maximum188
Zeros69445
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:11.501009image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum188
Range188
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.14397346
Coefficient of variation (CV)26.13444273
Kurtosis1561.164031
Mean0.1203
Median Absolute Deviation (MAD)0
Skewness36.88083803
Sum8421
Variance9.884569118
MonotonicityNot monotonic
2025-03-23T12:49:11.657186image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69445
99.2%
1 226
 
0.3%
2 85
 
0.1%
3 39
 
0.1%
4 31
 
< 0.1%
5 20
 
< 0.1%
6 12
 
< 0.1%
7 8
 
< 0.1%
8 6
 
< 0.1%
13 5
 
< 0.1%
Other values (77) 123
 
0.2%
ValueCountFrequency (%)
0 69445
99.2%
1 226
 
0.3%
2 85
 
0.1%
3 39
 
0.1%
4 31
 
< 0.1%
ValueCountFrequency (%)
188 1
< 0.1%
180 1
< 0.1%
173 1
< 0.1%
169 1
< 0.1%
162 1
< 0.1%

113
Real number (ℝ)

Zeros 

Distinct185
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5251
Minimum0
Maximum255
Zeros68959
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:11.813444image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.392112221
Coefficient of variation (CV)15.98193148
Kurtosis435.3463966
Mean0.5251
Median Absolute Deviation (MAD)0
Skewness19.92514268
Sum36757
Variance70.42754753
MonotonicityNot monotonic
2025-03-23T12:49:11.969656image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68959
98.5%
1 313
 
0.4%
2 149
 
0.2%
3 74
 
0.1%
4 42
 
0.1%
5 34
 
< 0.1%
6 27
 
< 0.1%
7 17
 
< 0.1%
13 8
 
< 0.1%
21 8
 
< 0.1%
Other values (175) 369
 
0.5%
ValueCountFrequency (%)
0 68959
98.5%
1 313
 
0.4%
2 149
 
0.2%
3 74
 
0.1%
4 42
 
0.1%
ValueCountFrequency (%)
255 2
< 0.1%
243 1
< 0.1%
239 2
< 0.1%
236 1
< 0.1%
230 1
< 0.1%

114
Real number (ℝ)

Zeros 

Distinct230
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.146871429
Minimum0
Maximum255
Zeros67694
Zeros (%)96.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:12.125865image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.59032709
Coefficient of variation (CV)10.97797606
Kurtosis200.1714639
Mean1.146871429
Median Absolute Deviation (MAD)0
Skewness13.56594027
Sum80281
Variance158.5163362
MonotonicityNot monotonic
2025-03-23T12:49:12.266454image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67694
96.7%
1 621
 
0.9%
2 385
 
0.5%
3 228
 
0.3%
4 108
 
0.2%
5 73
 
0.1%
6 53
 
0.1%
7 42
 
0.1%
8 22
 
< 0.1%
9 12
 
< 0.1%
Other values (220) 762
 
1.1%
ValueCountFrequency (%)
0 67694
96.7%
1 621
 
0.9%
2 385
 
0.5%
3 228
 
0.3%
4 108
 
0.2%
ValueCountFrequency (%)
255 3
< 0.1%
252 2
< 0.1%
251 1
 
< 0.1%
250 1
 
< 0.1%
248 1
 
< 0.1%

115
Real number (ℝ)

Zeros 

Distinct253
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.998385714
Minimum0
Maximum255
Zeros65196
Zeros (%)93.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:12.422629image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.07228854
Coefficient of variation (CV)6.694365054
Kurtosis71.90212013
Mean2.998385714
Median Absolute Deviation (MAD)0
Skewness8.163073067
Sum209887
Variance402.8967673
MonotonicityNot monotonic
2025-03-23T12:49:12.578882image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65196
93.1%
1 1122
 
1.6%
2 633
 
0.9%
3 373
 
0.5%
4 227
 
0.3%
5 153
 
0.2%
6 99
 
0.1%
7 51
 
0.1%
8 44
 
0.1%
10 27
 
< 0.1%
Other values (243) 2075
 
3.0%
ValueCountFrequency (%)
0 65196
93.1%
1 1122
 
1.6%
2 633
 
0.9%
3 373
 
0.5%
4 227
 
0.3%
ValueCountFrequency (%)
255 8
< 0.1%
254 1
 
< 0.1%
253 1
 
< 0.1%
252 1
 
< 0.1%
250 3
 
< 0.1%

116
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.46074286
Minimum0
Maximum255
Zeros59731
Zeros (%)85.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:12.735109image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile104
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation39.76415279
Coefficient of variation (CV)3.469596455
Kurtosis15.02589804
Mean11.46074286
Median Absolute Deviation (MAD)0
Skewness3.902718713
Sum802252
Variance1581.187847
MonotonicityNot monotonic
2025-03-23T12:49:12.891267image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59731
85.3%
1 1187
 
1.7%
2 630
 
0.9%
3 378
 
0.5%
4 255
 
0.4%
5 157
 
0.2%
6 103
 
0.1%
7 78
 
0.1%
17 74
 
0.1%
9 71
 
0.1%
Other values (246) 7336
 
10.5%
ValueCountFrequency (%)
0 59731
85.3%
1 1187
 
1.7%
2 630
 
0.9%
3 378
 
0.5%
4 255
 
0.4%
ValueCountFrequency (%)
255 25
< 0.1%
254 7
 
< 0.1%
253 6
 
< 0.1%
252 5
 
< 0.1%
251 6
 
< 0.1%

117
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.43264286
Minimum0
Maximum255
Zeros52310
Zeros (%)74.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:13.031897image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile195
Maximum255
Range255
Interquartile range (IQR)1

Descriptive statistics

Standard deviation62.52429124
Coefficient of variation (CV)2.199031991
Kurtosis3.316139564
Mean28.43264286
Median Absolute Deviation (MAD)0
Skewness2.152781535
Sum1990285
Variance3909.286996
MonotonicityNot monotonic
2025-03-23T12:49:13.188112image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 52310
74.7%
1 826
 
1.2%
2 448
 
0.6%
3 286
 
0.4%
4 150
 
0.2%
5 140
 
0.2%
6 106
 
0.2%
9 98
 
0.1%
7 95
 
0.1%
151 88
 
0.1%
Other values (246) 15453
 
22.1%
ValueCountFrequency (%)
0 52310
74.7%
1 826
 
1.2%
2 448
 
0.6%
3 286
 
0.4%
4 150
 
0.2%
ValueCountFrequency (%)
255 63
0.1%
254 26
< 0.1%
253 17
 
< 0.1%
252 26
< 0.1%
251 22
 
< 0.1%

118
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.28998571
Minimum0
Maximum255
Zeros45098
Zeros (%)64.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:13.328708image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q385
95-th percentile218
Maximum255
Range255
Interquartile range (IQR)85

Descriptive statistics

Standard deviation77.34851752
Coefficient of variation (CV)1.635621503
Kurtosis0.2161546425
Mean47.28998571
Median Absolute Deviation (MAD)0
Skewness1.334094781
Sum3310299
Variance5982.793162
MonotonicityNot monotonic
2025-03-23T12:49:13.469297image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45098
64.4%
1 553
 
0.8%
2 364
 
0.5%
3 202
 
0.3%
218 155
 
0.2%
223 152
 
0.2%
211 152
 
0.2%
216 149
 
0.2%
220 148
 
0.2%
229 146
 
0.2%
Other values (246) 22881
32.7%
ValueCountFrequency (%)
0 45098
64.4%
1 553
 
0.8%
2 364
 
0.5%
3 202
 
0.3%
4 143
 
0.2%
ValueCountFrequency (%)
255 118
0.2%
254 49
0.1%
253 32
 
< 0.1%
252 29
 
< 0.1%
251 35
 
0.1%

119
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.76142857
Minimum0
Maximum255
Zeros39750
Zeros (%)56.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:13.625507image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3132
95-th percentile224
Maximum255
Range255
Interquartile range (IQR)132

Descriptive statistics

Standard deviation84.2778053
Coefficient of variation (CV)1.387028042
Kurtosis-0.7322715649
Mean60.76142857
Median Absolute Deviation (MAD)0
Skewness0.9507025389
Sum4253300
Variance7102.748466
MonotonicityNot monotonic
2025-03-23T12:49:13.766103image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 39750
56.8%
1 476
 
0.7%
2 318
 
0.5%
3 246
 
0.4%
217 226
 
0.3%
215 224
 
0.3%
219 220
 
0.3%
216 217
 
0.3%
218 215
 
0.3%
221 213
 
0.3%
Other values (246) 27895
39.9%
ValueCountFrequency (%)
0 39750
56.8%
1 476
 
0.7%
2 318
 
0.5%
3 246
 
0.4%
4 181
 
0.3%
ValueCountFrequency (%)
255 145
0.2%
254 44
 
0.1%
253 27
 
< 0.1%
252 35
 
0.1%
251 53
 
0.1%

120
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.36592857
Minimum0
Maximum255
Zeros34808
Zeros (%)49.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:13.922278image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q3159
95-th percentile228
Maximum255
Range255
Interquartile range (IQR)159

Descriptive statistics

Standard deviation88.21254488
Coefficient of variation (CV)1.218978967
Kurtosis-1.184119884
Mean72.36592857
Median Absolute Deviation (MAD)1
Skewness0.6868442405
Sum5065615
Variance7781.453074
MonotonicityNot monotonic
2025-03-23T12:49:14.062905image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34808
49.7%
1 492
 
0.7%
2 335
 
0.5%
222 283
 
0.4%
216 273
 
0.4%
228 270
 
0.4%
217 268
 
0.4%
223 267
 
0.4%
219 266
 
0.4%
229 264
 
0.4%
Other values (246) 32474
46.4%
ValueCountFrequency (%)
0 34808
49.7%
1 492
 
0.7%
2 335
 
0.5%
3 263
 
0.4%
4 186
 
0.3%
ValueCountFrequency (%)
255 209
0.3%
254 51
 
0.1%
253 37
 
0.1%
252 58
 
0.1%
251 46
 
0.1%

121
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.97981429
Minimum0
Maximum255
Zeros27300
Zeros (%)39.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:14.219126image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median66
Q3180
95-th percentile231
Maximum255
Range255
Interquartile range (IQR)180

Descriptive statistics

Standard deviation90.60870854
Coefficient of variation (CV)1.018306335
Kurtosis-1.507465129
Mean88.97981429
Median Absolute Deviation (MAD)66
Skewness0.3551148462
Sum6228587
Variance8209.938063
MonotonicityNot monotonic
2025-03-23T12:49:14.375292image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27300
39.0%
1 864
 
1.2%
255 463
 
0.7%
2 400
 
0.6%
224 370
 
0.5%
225 359
 
0.5%
214 358
 
0.5%
223 342
 
0.5%
216 339
 
0.5%
229 330
 
0.5%
Other values (246) 38875
55.5%
ValueCountFrequency (%)
0 27300
39.0%
1 864
 
1.2%
2 400
 
0.6%
3 291
 
0.4%
4 199
 
0.3%
ValueCountFrequency (%)
255 463
0.7%
254 69
 
0.1%
253 55
 
0.1%
252 57
 
0.1%
251 39
 
0.1%

122
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.9092
Minimum0
Maximum255
Zeros24741
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:14.531544image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median97
Q3195
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)195

Descriptive statistics

Standard deviation93.54057368
Coefficient of variation (CV)0.926977656
Kurtosis-1.628728835
Mean100.9092
Median Absolute Deviation (MAD)97
Skewness0.1544967096
Sum7063644
Variance8749.838924
MonotonicityNot monotonic
2025-03-23T12:49:14.672101image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24741
35.3%
255 818
 
1.2%
1 649
 
0.9%
221 436
 
0.6%
223 430
 
0.6%
224 426
 
0.6%
222 426
 
0.6%
219 424
 
0.6%
228 411
 
0.6%
225 404
 
0.6%
Other values (246) 40835
58.3%
ValueCountFrequency (%)
0 24741
35.3%
1 649
 
0.9%
2 313
 
0.4%
3 207
 
0.3%
4 183
 
0.3%
ValueCountFrequency (%)
255 818
1.2%
254 140
 
0.2%
253 111
 
0.2%
252 121
 
0.2%
251 73
 
0.1%

123
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.2581286
Minimum0
Maximum255
Zeros23609
Zeros (%)33.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:14.828346image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median104
Q3195
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)195

Descriptive statistics

Standard deviation92.0353843
Coefficient of variation (CV)0.9000300082
Kurtosis-1.641926458
Mean102.2581286
Median Absolute Deviation (MAD)104
Skewness0.09955592649
Sum7158069
Variance8470.511963
MonotonicityNot monotonic
2025-03-23T12:49:14.968949image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23609
33.7%
1 610
 
0.9%
225 474
 
0.7%
222 461
 
0.7%
221 456
 
0.7%
226 452
 
0.6%
219 451
 
0.6%
228 447
 
0.6%
223 436
 
0.6%
224 434
 
0.6%
Other values (246) 42170
60.2%
ValueCountFrequency (%)
0 23609
33.7%
1 610
 
0.9%
2 374
 
0.5%
3 237
 
0.3%
4 204
 
0.3%
ValueCountFrequency (%)
255 252
0.4%
254 62
 
0.1%
253 42
 
0.1%
252 52
 
0.1%
251 45
 
0.1%

124
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.0203
Minimum0
Maximum255
Zeros23356
Zeros (%)33.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:15.109504image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median107
Q3198
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)198

Descriptive statistics

Standard deviation93.14749491
Coefficient of variation (CV)0.8954741999
Kurtosis-1.649291593
Mean104.0203
Median Absolute Deviation (MAD)107
Skewness0.08466192104
Sum7281421
Variance8676.455809
MonotonicityNot monotonic
2025-03-23T12:49:15.609415image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23356
33.4%
1 647
 
0.9%
222 468
 
0.7%
224 464
 
0.7%
226 460
 
0.7%
221 458
 
0.7%
225 452
 
0.6%
227 439
 
0.6%
231 432
 
0.6%
216 431
 
0.6%
Other values (246) 42393
60.6%
ValueCountFrequency (%)
0 23356
33.4%
1 647
 
0.9%
2 378
 
0.5%
3 289
 
0.4%
4 225
 
0.3%
ValueCountFrequency (%)
255 405
0.6%
254 81
 
0.1%
253 84
 
0.1%
252 56
 
0.1%
251 70
 
0.1%

125
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.7919429
Minimum0
Maximum255
Zeros22912
Zeros (%)32.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:15.749969image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median111
Q3200
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)200

Descriptive statistics

Standard deviation93.95424321
Coefficient of variation (CV)0.8881039584
Kurtosis-1.663919608
Mean105.7919429
Median Absolute Deviation (MAD)108
Skewness0.05812434195
Sum7405436
Variance8827.399818
MonotonicityNot monotonic
2025-03-23T12:49:15.906220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22912
32.7%
1 725
 
1.0%
2 495
 
0.7%
228 490
 
0.7%
224 481
 
0.7%
227 467
 
0.7%
221 463
 
0.7%
225 461
 
0.7%
223 460
 
0.7%
255 453
 
0.6%
Other values (246) 42593
60.8%
ValueCountFrequency (%)
0 22912
32.7%
1 725
 
1.0%
2 495
 
0.7%
3 352
 
0.5%
4 251
 
0.4%
ValueCountFrequency (%)
255 453
0.6%
254 140
 
0.2%
253 82
 
0.1%
252 59
 
0.1%
251 89
 
0.1%

126
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.9808429
Minimum0
Maximum255
Zeros22422
Zeros (%)32.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:16.046818image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median117
Q3201
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)201

Descriptive statistics

Standard deviation93.87316713
Coefficient of variation (CV)0.8693501981
Kurtosis-1.658886031
Mean107.9808429
Median Absolute Deviation (MAD)103
Skewness0.01837626929
Sum7558659
Variance8812.171507
MonotonicityNot monotonic
2025-03-23T12:49:16.187367image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22422
32.0%
1 694
 
1.0%
255 614
 
0.9%
225 503
 
0.7%
223 489
 
0.7%
224 465
 
0.7%
229 455
 
0.7%
226 449
 
0.6%
215 449
 
0.6%
217 439
 
0.6%
Other values (246) 43021
61.5%
ValueCountFrequency (%)
0 22422
32.0%
1 694
 
1.0%
2 424
 
0.6%
3 325
 
0.5%
4 217
 
0.3%
ValueCountFrequency (%)
255 614
0.9%
254 138
 
0.2%
253 98
 
0.1%
252 93
 
0.1%
251 98
 
0.1%

127
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.1425429
Minimum0
Maximum255
Zeros21564
Zeros (%)30.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:16.327997image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median119
Q3201
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)201

Descriptive statistics

Standard deviation92.80955257
Coefficient of variation (CV)0.8503517523
Kurtosis-1.639583709
Mean109.1425429
Median Absolute Deviation (MAD)99
Skewness-0.002915765815
Sum7639978
Variance8613.613047
MonotonicityNot monotonic
2025-03-23T12:49:16.468594image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21564
30.8%
255 534
 
0.8%
1 513
 
0.7%
221 494
 
0.7%
222 483
 
0.7%
226 479
 
0.7%
228 478
 
0.7%
224 473
 
0.7%
225 471
 
0.7%
223 466
 
0.7%
Other values (246) 44045
62.9%
ValueCountFrequency (%)
0 21564
30.8%
1 513
 
0.7%
2 350
 
0.5%
3 253
 
0.4%
4 191
 
0.3%
ValueCountFrequency (%)
255 534
0.8%
254 107
 
0.2%
253 101
 
0.1%
252 77
 
0.1%
251 89
 
0.1%

128
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.5836143
Minimum0
Maximum255
Zeros20767
Zeros (%)29.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:16.609180image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median120
Q3199
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)199

Descriptive statistics

Standard deviation91.05514245
Coefficient of variation (CV)0.8309193217
Kurtosis-1.617681423
Mean109.5836143
Median Absolute Deviation (MAD)94
Skewness-0.02642948385
Sum7670853
Variance8291.038966
MonotonicityNot monotonic
2025-03-23T12:49:16.749775image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20767
29.7%
226 524
 
0.7%
218 482
 
0.7%
221 480
 
0.7%
219 477
 
0.7%
225 470
 
0.7%
227 469
 
0.7%
216 468
 
0.7%
222 461
 
0.7%
228 455
 
0.7%
Other values (246) 44947
64.2%
ValueCountFrequency (%)
0 20767
29.7%
1 363
 
0.5%
2 282
 
0.4%
3 225
 
0.3%
4 147
 
0.2%
ValueCountFrequency (%)
255 332
0.5%
254 75
 
0.1%
253 60
 
0.1%
252 63
 
0.1%
251 54
 
0.1%

129
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.4734429
Minimum0
Maximum255
Zeros20763
Zeros (%)29.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:16.890325image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median117
Q3197
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)197

Descriptive statistics

Standard deviation90.47610976
Coefficient of variation (CV)0.8340853519
Kurtosis-1.606659248
Mean108.4734429
Median Absolute Deviation (MAD)95
Skewness-0.00536039655
Sum7593141
Variance8185.926437
MonotonicityNot monotonic
2025-03-23T12:49:17.048373image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20763
29.7%
217 493
 
0.7%
216 472
 
0.7%
222 463
 
0.7%
225 457
 
0.7%
220 455
 
0.7%
224 455
 
0.7%
221 451
 
0.6%
226 445
 
0.6%
227 440
 
0.6%
Other values (246) 45106
64.4%
ValueCountFrequency (%)
0 20763
29.7%
1 291
 
0.4%
2 220
 
0.3%
3 185
 
0.3%
4 145
 
0.2%
ValueCountFrequency (%)
255 425
0.6%
254 66
 
0.1%
253 60
 
0.1%
252 49
 
0.1%
251 61
 
0.1%

130
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.6506429
Minimum0
Maximum255
Zeros21418
Zeros (%)30.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:17.188961image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median109
Q3195
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)195

Descriptive statistics

Standard deviation90.88839201
Coefficient of variation (CV)0.8602729671
Kurtosis-1.591150783
Mean105.6506429
Median Absolute Deviation (MAD)102
Skewness0.06536726988
Sum7395545
Variance8260.699802
MonotonicityNot monotonic
2025-03-23T12:49:17.345170image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21418
30.6%
255 708
 
1.0%
221 418
 
0.6%
223 413
 
0.6%
217 410
 
0.6%
220 408
 
0.6%
215 406
 
0.6%
226 401
 
0.6%
225 398
 
0.6%
213 394
 
0.6%
Other values (246) 44626
63.8%
ValueCountFrequency (%)
0 21418
30.6%
1 344
 
0.5%
2 281
 
0.4%
3 207
 
0.3%
4 148
 
0.2%
ValueCountFrequency (%)
255 708
1.0%
254 133
 
0.2%
253 83
 
0.1%
252 83
 
0.1%
251 83
 
0.1%

131
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.56421429
Minimum0
Maximum255
Zeros24846
Zeros (%)35.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:17.485724image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median79
Q3181
95-th percentile230
Maximum255
Range255
Interquartile range (IQR)181

Descriptive statistics

Standard deviation89.1785333
Coefficient of variation (CV)0.9634234352
Kurtosis-1.512184834
Mean92.56421429
Median Absolute Deviation (MAD)79
Skewness0.2885017661
Sum6479495
Variance7952.810802
MonotonicityNot monotonic
2025-03-23T12:49:17.641974image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24846
35.5%
1 485
 
0.7%
2 366
 
0.5%
255 358
 
0.5%
219 341
 
0.5%
226 341
 
0.5%
218 340
 
0.5%
225 340
 
0.5%
220 338
 
0.5%
213 335
 
0.5%
Other values (246) 41910
59.9%
ValueCountFrequency (%)
0 24846
35.5%
1 485
 
0.7%
2 366
 
0.5%
3 266
 
0.4%
4 189
 
0.3%
ValueCountFrequency (%)
255 358
0.5%
254 77
 
0.1%
253 45
 
0.1%
252 63
 
0.1%
251 56
 
0.1%

132
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.90944286
Minimum0
Maximum255
Zeros32241
Zeros (%)46.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:17.782568image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median16
Q3164
95-th percentile228
Maximum255
Range255
Interquartile range (IQR)164

Descriptive statistics

Standard deviation88.58383471
Coefficient of variation (CV)1.166967262
Kurtosis-1.260002421
Mean75.90944286
Median Absolute Deviation (MAD)16
Skewness0.6182967917
Sum5313661
Variance7847.095772
MonotonicityNot monotonic
2025-03-23T12:49:17.938783image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32241
46.1%
1 637
 
0.9%
2 469
 
0.7%
255 335
 
0.5%
3 313
 
0.4%
222 308
 
0.4%
210 289
 
0.4%
223 287
 
0.4%
220 277
 
0.4%
225 273
 
0.4%
Other values (246) 34571
49.4%
ValueCountFrequency (%)
0 32241
46.1%
1 637
 
0.9%
2 469
 
0.7%
3 313
 
0.4%
4 227
 
0.3%
ValueCountFrequency (%)
255 335
0.5%
254 50
 
0.1%
253 48
 
0.1%
252 46
 
0.1%
251 50
 
0.1%

133
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.00757143
Minimum0
Maximum255
Zeros37515
Zeros (%)53.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:18.079374image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3138
95-th percentile226
Maximum255
Range255
Interquartile range (IQR)138

Descriptive statistics

Standard deviation85.01601813
Coefficient of variation (CV)1.349298445
Kurtosis-0.7978809696
Mean63.00757143
Median Absolute Deviation (MAD)0
Skewness0.9100097098
Sum4410530
Variance7227.723339
MonotonicityNot monotonic
2025-03-23T12:49:18.235590image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37515
53.6%
1 753
 
1.1%
2 524
 
0.7%
3 365
 
0.5%
255 274
 
0.4%
213 232
 
0.3%
225 230
 
0.3%
215 225
 
0.3%
211 224
 
0.3%
223 215
 
0.3%
Other values (246) 29443
42.1%
ValueCountFrequency (%)
0 37515
53.6%
1 753
 
1.1%
2 524
 
0.7%
3 365
 
0.5%
4 210
 
0.3%
ValueCountFrequency (%)
255 274
0.4%
254 56
 
0.1%
253 53
 
0.1%
252 48
 
0.1%
251 46
 
0.1%

134
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.04985714
Minimum0
Maximum255
Zeros43652
Zeros (%)62.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:18.376178image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q376
95-th percentile218
Maximum255
Range255
Interquartile range (IQR)76

Descriptive statistics

Standard deviation76.3123766
Coefficient of variation (CV)1.657168585
Kurtosis0.4057449976
Mean46.04985714
Median Absolute Deviation (MAD)0
Skewness1.394147628
Sum3223490
Variance5823.578823
MonotonicityNot monotonic
2025-03-23T12:49:18.516772image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43652
62.4%
1 1008
 
1.4%
2 641
 
0.9%
3 359
 
0.5%
4 240
 
0.3%
5 200
 
0.3%
255 199
 
0.3%
6 154
 
0.2%
223 153
 
0.2%
220 150
 
0.2%
Other values (246) 23244
33.2%
ValueCountFrequency (%)
0 43652
62.4%
1 1008
 
1.4%
2 641
 
0.9%
3 359
 
0.5%
4 240
 
0.3%
ValueCountFrequency (%)
255 199
0.3%
254 52
 
0.1%
253 37
 
0.1%
252 47
 
0.1%
251 24
 
< 0.1%

135
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.4872
Minimum0
Maximum255
Zeros51772
Zeros (%)74.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:18.672982image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile197
Maximum255
Range255
Interquartile range (IQR)1

Descriptive statistics

Standard deviation62.18221394
Coefficient of variation (CV)2.262224379
Kurtosis3.667153905
Mean27.4872
Median Absolute Deviation (MAD)0
Skewness2.235432435
Sum1924104
Variance3866.627731
MonotonicityNot monotonic
2025-03-23T12:49:18.823310image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 51772
74.0%
1 1221
 
1.7%
2 726
 
1.0%
3 425
 
0.6%
4 260
 
0.4%
5 210
 
0.3%
6 159
 
0.2%
255 120
 
0.2%
7 108
 
0.2%
10 98
 
0.1%
Other values (246) 14901
 
21.3%
ValueCountFrequency (%)
0 51772
74.0%
1 1221
 
1.7%
2 726
 
1.0%
3 425
 
0.6%
4 260
 
0.4%
ValueCountFrequency (%)
255 120
0.2%
254 28
 
< 0.1%
253 21
 
< 0.1%
252 19
 
< 0.1%
251 23
 
< 0.1%

136
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.64461429
Minimum0
Maximum255
Zeros58428
Zeros (%)83.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:18.963860image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile146
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation47.21632246
Coefficient of variation (CV)3.224142441
Kurtosis10.98832791
Mean14.64461429
Median Absolute Deviation (MAD)0
Skewness3.446880523
Sum1025123
Variance2229.381106
MonotonicityNot monotonic
2025-03-23T12:49:19.104491image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 58428
83.5%
1 1371
 
2.0%
2 789
 
1.1%
3 476
 
0.7%
4 302
 
0.4%
5 234
 
0.3%
255 105
 
0.1%
7 97
 
0.1%
6 97
 
0.1%
9 67
 
0.1%
Other values (246) 8034
 
11.5%
ValueCountFrequency (%)
0 58428
83.5%
1 1371
 
2.0%
2 789
 
1.1%
3 476
 
0.7%
4 302
 
0.4%
ValueCountFrequency (%)
255 105
0.1%
254 14
 
< 0.1%
253 17
 
< 0.1%
252 13
 
< 0.1%
251 6
 
< 0.1%

137
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.005157143
Minimum0
Maximum255
Zeros63161
Zeros (%)90.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:19.260703image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile52
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation35.07382404
Coefficient of variation (CV)4.381403565
Kurtosis23.61560571
Mean8.005157143
Median Absolute Deviation (MAD)0
Skewness4.859418671
Sum560361
Variance1230.173133
MonotonicityNot monotonic
2025-03-23T12:49:19.401259image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63161
90.2%
1 919
 
1.3%
2 486
 
0.7%
3 294
 
0.4%
4 181
 
0.3%
5 128
 
0.2%
6 101
 
0.1%
7 71
 
0.1%
255 51
 
0.1%
8 48
 
0.1%
Other values (246) 4560
 
6.5%
ValueCountFrequency (%)
0 63161
90.2%
1 919
 
1.3%
2 486
 
0.7%
3 294
 
0.4%
4 181
 
0.3%
ValueCountFrequency (%)
255 51
0.1%
254 11
 
< 0.1%
253 7
 
< 0.1%
252 1
 
< 0.1%
251 6
 
< 0.1%

138
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.936528571
Minimum0
Maximum255
Zeros65697
Zeros (%)93.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:19.557513image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation24.11567734
Coefficient of variation (CV)6.126127858
Kurtosis54.50167462
Mean3.936528571
Median Absolute Deviation (MAD)0
Skewness7.183492207
Sum275557
Variance581.5658937
MonotonicityNot monotonic
2025-03-23T12:49:19.698107image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65697
93.9%
1 766
 
1.1%
2 368
 
0.5%
3 228
 
0.3%
4 138
 
0.2%
5 99
 
0.1%
6 82
 
0.1%
7 52
 
0.1%
255 39
 
0.1%
8 38
 
0.1%
Other values (245) 2493
 
3.6%
ValueCountFrequency (%)
0 65697
93.9%
1 766
 
1.1%
2 368
 
0.5%
3 228
 
0.3%
4 138
 
0.2%
ValueCountFrequency (%)
255 39
0.1%
254 2
 
< 0.1%
253 2
 
< 0.1%
252 2
 
< 0.1%
251 5
 
< 0.1%

139
Real number (ℝ)

Zeros 

Distinct182
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9119285714
Minimum0
Maximum237
Zeros67898
Zeros (%)97.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:19.854313image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum237
Range237
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.271048632
Coefficient of variation (CV)10.16641974
Kurtosis196.1697358
Mean0.9119285714
Median Absolute Deviation (MAD)0
Skewness13.12836207
Sum63835
Variance85.95234274
MonotonicityNot monotonic
2025-03-23T12:49:19.994909image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67898
97.0%
1 499
 
0.7%
2 303
 
0.4%
3 163
 
0.2%
4 112
 
0.2%
5 65
 
0.1%
6 31
 
< 0.1%
13 19
 
< 0.1%
16 17
 
< 0.1%
7 16
 
< 0.1%
Other values (172) 877
 
1.3%
ValueCountFrequency (%)
0 67898
97.0%
1 499
 
0.7%
2 303
 
0.4%
3 163
 
0.2%
4 112
 
0.2%
ValueCountFrequency (%)
237 1
< 0.1%
223 1
< 0.1%
206 1
< 0.1%
201 2
< 0.1%
199 1
< 0.1%

140
Real number (ℝ)

Skewed  Zeros 

Distinct133
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2791857143
Minimum0
Maximum225
Zeros69135
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:20.151122image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum225
Range225
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.330338084
Coefficient of variation (CV)19.09244568
Kurtosis738.5321427
Mean0.2791857143
Median Absolute Deviation (MAD)0
Skewness25.54222119
Sum19543
Variance28.41250409
MonotonicityNot monotonic
2025-03-23T12:49:20.291710image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69135
98.8%
1 274
 
0.4%
2 142
 
0.2%
3 74
 
0.1%
4 47
 
0.1%
5 35
 
0.1%
6 17
 
< 0.1%
7 14
 
< 0.1%
8 9
 
< 0.1%
21 6
 
< 0.1%
Other values (123) 247
 
0.4%
ValueCountFrequency (%)
0 69135
98.8%
1 274
 
0.4%
2 142
 
0.2%
3 74
 
0.1%
4 47
 
0.1%
ValueCountFrequency (%)
225 1
< 0.1%
212 1
< 0.1%
208 1
< 0.1%
206 1
< 0.1%
203 1
< 0.1%

141
Real number (ℝ)

Zeros 

Distinct231
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0994
Minimum0
Maximum255
Zeros68486
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:20.447930image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.83396892
Coefficient of variation (CV)11.6736119
Kurtosis211.1522934
Mean1.0994
Median Absolute Deviation (MAD)0
Skewness13.9910835
Sum76958
Variance164.7107584
MonotonicityNot monotonic
2025-03-23T12:49:20.588517image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68486
97.8%
1 339
 
0.5%
2 187
 
0.3%
3 106
 
0.2%
4 60
 
0.1%
5 43
 
0.1%
6 32
 
< 0.1%
7 21
 
< 0.1%
9 19
 
< 0.1%
13 11
 
< 0.1%
Other values (221) 696
 
1.0%
ValueCountFrequency (%)
0 68486
97.8%
1 339
 
0.5%
2 187
 
0.3%
3 106
 
0.2%
4 60
 
0.1%
ValueCountFrequency (%)
255 4
< 0.1%
254 4
< 0.1%
253 2
< 0.1%
250 2
< 0.1%
249 3
< 0.1%

142
Real number (ℝ)

Zeros 

Distinct247
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.245142857
Minimum0
Maximum255
Zeros67287
Zeros (%)96.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:20.744732image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18.17475945
Coefficient of variation (CV)8.095146102
Kurtosis94.96552063
Mean2.245142857
Median Absolute Deviation (MAD)0
Skewness9.455768091
Sum157160
Variance330.321881
MonotonicityNot monotonic
2025-03-23T12:49:21.244612image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67287
96.1%
1 530
 
0.8%
2 292
 
0.4%
3 177
 
0.3%
4 133
 
0.2%
5 66
 
0.1%
6 49
 
0.1%
7 29
 
< 0.1%
8 19
 
< 0.1%
12 18
 
< 0.1%
Other values (237) 1400
 
2.0%
ValueCountFrequency (%)
0 67287
96.1%
1 530
 
0.8%
2 292
 
0.4%
3 177
 
0.3%
4 133
 
0.2%
ValueCountFrequency (%)
255 5
< 0.1%
254 1
 
< 0.1%
253 2
 
< 0.1%
251 2
 
< 0.1%
250 1
 
< 0.1%

143
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.5918
Minimum0
Maximum255
Zeros64199
Zeros (%)91.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:21.400823image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile16
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27.99792951
Coefficient of variation (CV)5.006961892
Kurtosis35.73454409
Mean5.5918
Median Absolute Deviation (MAD)0
Skewness5.844887657
Sum391426
Variance783.8840568
MonotonicityNot monotonic
2025-03-23T12:49:21.541421image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64199
91.7%
1 787
 
1.1%
2 497
 
0.7%
3 281
 
0.4%
4 162
 
0.2%
5 113
 
0.2%
6 89
 
0.1%
7 62
 
0.1%
8 56
 
0.1%
31 38
 
0.1%
Other values (246) 3716
 
5.3%
ValueCountFrequency (%)
0 64199
91.7%
1 787
 
1.1%
2 497
 
0.7%
3 281
 
0.4%
4 162
 
0.2%
ValueCountFrequency (%)
255 11
< 0.1%
254 6
< 0.1%
253 2
 
< 0.1%
252 8
< 0.1%
251 2
 
< 0.1%

144
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.23141429
Minimum0
Maximum255
Zeros57477
Zeros (%)82.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:21.697602image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile153
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation49.40455779
Coefficient of variation (CV)2.867121466
Kurtosis8.53130646
Mean17.23141429
Median Absolute Deviation (MAD)0
Skewness3.065752719
Sum1206199
Variance2440.81033
MonotonicityNot monotonic
2025-03-23T12:49:21.853832image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 57477
82.1%
1 815
 
1.2%
2 510
 
0.7%
3 307
 
0.4%
4 203
 
0.3%
5 166
 
0.2%
6 121
 
0.2%
9 83
 
0.1%
7 83
 
0.1%
25 77
 
0.1%
Other values (246) 10158
 
14.5%
ValueCountFrequency (%)
0 57477
82.1%
1 815
 
1.2%
2 510
 
0.7%
3 307
 
0.4%
4 203
 
0.3%
ValueCountFrequency (%)
255 50
0.1%
254 20
 
< 0.1%
253 17
 
< 0.1%
252 9
 
< 0.1%
251 11
 
< 0.1%

145
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.51512857
Minimum0
Maximum255
Zeros48260
Zeros (%)68.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:21.994438image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q336
95-th percentile209
Maximum255
Range255
Interquartile range (IQR)36

Descriptive statistics

Standard deviation70.3479632
Coefficient of variation (CV)1.87518918
Kurtosis1.431984418
Mean37.51512857
Median Absolute Deviation (MAD)0
Skewness1.702308415
Sum2626059
Variance4948.835926
MonotonicityNot monotonic
2025-03-23T12:49:22.150610image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 48260
68.9%
1 663
 
0.9%
2 405
 
0.6%
3 272
 
0.4%
4 187
 
0.3%
5 149
 
0.2%
6 134
 
0.2%
221 123
 
0.2%
197 123
 
0.2%
178 114
 
0.2%
Other values (246) 19570
28.0%
ValueCountFrequency (%)
0 48260
68.9%
1 663
 
0.9%
2 405
 
0.6%
3 272
 
0.4%
4 187
 
0.3%
ValueCountFrequency (%)
255 104
0.1%
254 26
 
< 0.1%
253 28
 
< 0.1%
252 30
 
< 0.1%
251 34
 
< 0.1%

146
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.9892
Minimum0
Maximum255
Zeros42386
Zeros (%)60.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:22.291239image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3119
95-th percentile224
Maximum255
Range255
Interquartile range (IQR)119

Descriptive statistics

Standard deviation82.89243658
Coefficient of variation (CV)1.480507608
Kurtosis-0.4618438467
Mean55.9892
Median Absolute Deviation (MAD)0
Skewness1.082185195
Sum3919244
Variance6871.156043
MonotonicityNot monotonic
2025-03-23T12:49:22.431792image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42386
60.6%
1 388
 
0.6%
2 332
 
0.5%
220 218
 
0.3%
3 205
 
0.3%
219 203
 
0.3%
211 199
 
0.3%
221 194
 
0.3%
212 193
 
0.3%
227 192
 
0.3%
Other values (246) 25490
36.4%
ValueCountFrequency (%)
0 42386
60.6%
1 388
 
0.6%
2 332
 
0.5%
3 205
 
0.3%
4 144
 
0.2%
ValueCountFrequency (%)
255 165
0.2%
254 49
 
0.1%
253 32
 
< 0.1%
252 46
 
0.1%
251 38
 
0.1%

147
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.95941429
Minimum0
Maximum255
Zeros37356
Zeros (%)53.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:22.572425image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3150
95-th percentile226
Maximum255
Range255
Interquartile range (IQR)150

Descriptive statistics

Standard deviation86.73812024
Coefficient of variation (CV)1.295383497
Kurtosis-1.020686894
Mean66.95941429
Median Absolute Deviation (MAD)0
Skewness0.8002150641
Sum4687159
Variance7523.501503
MonotonicityNot monotonic
2025-03-23T12:49:22.728641image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37356
53.4%
1 441
 
0.6%
2 319
 
0.5%
220 260
 
0.4%
214 254
 
0.4%
221 253
 
0.4%
217 250
 
0.4%
226 248
 
0.4%
219 247
 
0.4%
225 246
 
0.4%
Other values (246) 30126
43.0%
ValueCountFrequency (%)
0 37356
53.4%
1 441
 
0.6%
2 319
 
0.5%
3 240
 
0.3%
4 177
 
0.3%
ValueCountFrequency (%)
255 171
0.2%
254 57
 
0.1%
253 34
 
< 0.1%
252 35
 
0.1%
251 34
 
< 0.1%

148
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.54194286
Minimum0
Maximum255
Zeros32748
Zeros (%)46.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:22.869226image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median16
Q3168
95-th percentile228
Maximum255
Range255
Interquartile range (IQR)168

Descriptive statistics

Standard deviation89.34692462
Coefficient of variation (CV)1.152239953
Kurtosis-1.332983492
Mean77.54194286
Median Absolute Deviation (MAD)16
Skewness0.5724234622
Sum5427936
Variance7982.872939
MonotonicityNot monotonic
2025-03-23T12:49:23.025445image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32748
46.8%
1 546
 
0.8%
2 334
 
0.5%
215 330
 
0.5%
223 313
 
0.4%
220 309
 
0.4%
225 303
 
0.4%
210 301
 
0.4%
224 292
 
0.4%
221 289
 
0.4%
Other values (246) 34235
48.9%
ValueCountFrequency (%)
0 32748
46.8%
1 546
 
0.8%
2 334
 
0.5%
3 257
 
0.4%
4 182
 
0.3%
ValueCountFrequency (%)
255 235
0.3%
254 64
 
0.1%
253 37
 
0.1%
252 46
 
0.1%
251 40
 
0.1%

149
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.19475714
Minimum0
Maximum255
Zeros25747
Zeros (%)36.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:23.166036image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median80
Q3184
95-th percentile231
Maximum255
Range255
Interquartile range (IQR)184

Descriptive statistics

Standard deviation90.7978886
Coefficient of variation (CV)0.9742810795
Kurtosis-1.556307949
Mean93.19475714
Median Absolute Deviation (MAD)80
Skewness0.270405368
Sum6523633
Variance8244.256573
MonotonicityNot monotonic
2025-03-23T12:49:23.322248image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25747
36.8%
1 948
 
1.4%
255 498
 
0.7%
2 384
 
0.5%
224 374
 
0.5%
225 369
 
0.5%
221 367
 
0.5%
227 361
 
0.5%
210 354
 
0.5%
219 351
 
0.5%
Other values (246) 40247
57.5%
ValueCountFrequency (%)
0 25747
36.8%
1 948
 
1.4%
2 384
 
0.5%
3 253
 
0.4%
4 166
 
0.2%
ValueCountFrequency (%)
255 498
0.7%
254 74
 
0.1%
253 56
 
0.1%
252 47
 
0.1%
251 49
 
0.1%

150
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.4488286
Minimum0
Maximum255
Zeros23513
Zeros (%)33.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:23.462799image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median103
Q3195
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)195

Descriptive statistics

Standard deviation92.59958419
Coefficient of variation (CV)0.9038618155
Kurtosis-1.618703657
Mean102.4488286
Median Absolute Deviation (MAD)103
Skewness0.1212376568
Sum7171418
Variance8574.682991
MonotonicityNot monotonic
2025-03-23T12:49:23.619053image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23513
33.6%
255 739
 
1.1%
1 680
 
1.0%
223 434
 
0.6%
222 426
 
0.6%
224 416
 
0.6%
218 404
 
0.6%
215 397
 
0.6%
219 396
 
0.6%
226 393
 
0.6%
Other values (246) 42202
60.3%
ValueCountFrequency (%)
0 23513
33.6%
1 680
 
1.0%
2 324
 
0.5%
3 248
 
0.4%
4 186
 
0.3%
ValueCountFrequency (%)
255 739
1.1%
254 140
 
0.2%
253 95
 
0.1%
252 86
 
0.1%
251 67
 
0.1%

151
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.9522571
Minimum0
Maximum255
Zeros22317
Zeros (%)31.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:23.759647image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median106
Q3193
95-th percentile231
Maximum255
Range255
Interquartile range (IQR)193

Descriptive statistics

Standard deviation91.01585642
Coefficient of variation (CV)0.8840588729
Kurtosis-1.622467414
Mean102.9522571
Median Absolute Deviation (MAD)105
Skewness0.08469507313
Sum7206658
Variance8283.886119
MonotonicityNot monotonic
2025-03-23T12:49:23.900196image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22317
31.9%
1 767
 
1.1%
220 457
 
0.7%
221 442
 
0.6%
222 438
 
0.6%
225 437
 
0.6%
219 435
 
0.6%
215 431
 
0.6%
223 430
 
0.6%
226 429
 
0.6%
Other values (246) 43417
62.0%
ValueCountFrequency (%)
0 22317
31.9%
1 767
 
1.1%
2 423
 
0.6%
3 320
 
0.5%
4 246
 
0.4%
ValueCountFrequency (%)
255 260
0.4%
254 74
 
0.1%
253 57
 
0.1%
252 49
 
0.1%
251 46
 
0.1%

152
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.8964429
Minimum0
Maximum255
Zeros21842
Zeros (%)31.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:24.056461image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median107
Q3196
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)196

Descriptive statistics

Standard deviation91.6747752
Coefficient of variation (CV)0.8823668326
Kurtosis-1.631148744
Mean103.8964429
Median Absolute Deviation (MAD)105
Skewness0.07968004223
Sum7272751
Variance8404.264408
MonotonicityNot monotonic
2025-03-23T12:49:24.197002image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21842
31.2%
1 832
 
1.2%
2 475
 
0.7%
225 466
 
0.7%
227 465
 
0.7%
224 460
 
0.7%
229 444
 
0.6%
226 443
 
0.6%
222 439
 
0.6%
216 433
 
0.6%
Other values (246) 43701
62.4%
ValueCountFrequency (%)
0 21842
31.2%
1 832
 
1.2%
2 475
 
0.7%
3 372
 
0.5%
4 256
 
0.4%
ValueCountFrequency (%)
255 322
0.5%
254 65
 
0.1%
253 65
 
0.1%
252 54
 
0.1%
251 46
 
0.1%

153
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.7297143
Minimum0
Maximum255
Zeros21017
Zeros (%)30.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:24.337641image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median113
Q3198
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)198

Descriptive statistics

Standard deviation92.19149042
Coefficient of variation (CV)0.8637846643
Kurtosis-1.640787138
Mean106.7297143
Median Absolute Deviation (MAD)103
Skewness0.03172718778
Sum7471080
Variance8499.270907
MonotonicityNot monotonic
2025-03-23T12:49:24.493848image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21017
30.0%
1 958
 
1.4%
2 561
 
0.8%
224 473
 
0.7%
223 469
 
0.7%
225 464
 
0.7%
221 463
 
0.7%
227 462
 
0.7%
220 460
 
0.7%
222 454
 
0.6%
Other values (246) 44219
63.2%
ValueCountFrequency (%)
0 21017
30.0%
1 958
 
1.4%
2 561
 
0.8%
3 380
 
0.5%
4 282
 
0.4%
ValueCountFrequency (%)
255 376
0.5%
254 85
 
0.1%
253 66
 
0.1%
252 48
 
0.1%
251 57
 
0.1%

154
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.2534571
Minimum0
Maximum255
Zeros20321
Zeros (%)29.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:24.634435image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median121
Q3200
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)200

Descriptive statistics

Standard deviation92.15507518
Coefficient of variation (CV)0.8358474879
Kurtosis-1.630109461
Mean110.2534571
Median Absolute Deviation (MAD)95
Skewness-0.0269767093
Sum7717742
Variance8492.557882
MonotonicityNot monotonic
2025-03-23T12:49:24.775033image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20321
29.0%
1 761
 
1.1%
255 518
 
0.7%
2 487
 
0.7%
224 472
 
0.7%
225 464
 
0.7%
218 460
 
0.7%
217 455
 
0.7%
229 455
 
0.7%
226 448
 
0.6%
Other values (246) 45159
64.5%
ValueCountFrequency (%)
0 20321
29.0%
1 761
 
1.1%
2 487
 
0.7%
3 341
 
0.5%
4 228
 
0.3%
ValueCountFrequency (%)
255 518
0.7%
254 127
 
0.2%
253 81
 
0.1%
252 79
 
0.1%
251 65
 
0.1%

155
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.8889857
Minimum0
Maximum255
Zeros19233
Zeros (%)27.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:24.915624image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median124
Q3200
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)200

Descriptive statistics

Standard deviation91.05689098
Coefficient of variation (CV)0.8138146074
Kurtosis-1.609108858
Mean111.8889857
Median Absolute Deviation (MAD)92
Skewness-0.05697953862
Sum7832229
Variance8291.357395
MonotonicityNot monotonic
2025-03-23T12:49:25.056215image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19233
27.5%
1 603
 
0.9%
225 511
 
0.7%
220 509
 
0.7%
222 500
 
0.7%
223 499
 
0.7%
229 482
 
0.7%
224 477
 
0.7%
226 473
 
0.7%
228 472
 
0.7%
Other values (246) 46241
66.1%
ValueCountFrequency (%)
0 19233
27.5%
1 603
 
0.9%
2 401
 
0.6%
3 293
 
0.4%
4 223
 
0.3%
ValueCountFrequency (%)
255 360
0.5%
254 87
 
0.1%
253 76
 
0.1%
252 68
 
0.1%
251 65
 
0.1%

156
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.4611
Minimum0
Maximum255
Zeros18085
Zeros (%)25.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:25.196809image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median127
Q3199
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)199

Descriptive statistics

Standard deviation89.23138224
Coefficient of variation (CV)0.7864491199
Kurtosis-1.570957513
Mean113.4611
Median Absolute Deviation (MAD)86
Skewness-0.09464253153
Sum7942277
Variance7962.239576
MonotonicityNot monotonic
2025-03-23T12:49:25.353016image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18085
 
25.8%
225 508
 
0.7%
228 487
 
0.7%
223 479
 
0.7%
226 467
 
0.7%
222 463
 
0.7%
1 458
 
0.7%
220 458
 
0.7%
221 454
 
0.6%
227 453
 
0.6%
Other values (246) 47688
68.1%
ValueCountFrequency (%)
0 18085
25.8%
1 458
 
0.7%
2 292
 
0.4%
3 230
 
0.3%
4 160
 
0.2%
ValueCountFrequency (%)
255 338
0.5%
254 59
 
0.1%
253 46
 
0.1%
252 51
 
0.1%
251 47
 
0.1%

157
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.8145143
Minimum0
Maximum255
Zeros17924
Zeros (%)25.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:25.493612image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median127
Q3199
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)199

Descriptive statistics

Standard deviation88.72090131
Coefficient of variation (CV)0.7795218551
Kurtosis-1.553810562
Mean113.8145143
Median Absolute Deviation (MAD)85
Skewness-0.09959919215
Sum7967016
Variance7871.398329
MonotonicityNot monotonic
2025-03-23T12:49:25.649821image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17924
 
25.6%
224 484
 
0.7%
221 483
 
0.7%
225 482
 
0.7%
226 459
 
0.7%
220 455
 
0.7%
219 455
 
0.7%
213 446
 
0.6%
227 446
 
0.6%
218 444
 
0.6%
Other values (246) 47922
68.5%
ValueCountFrequency (%)
0 17924
25.6%
1 354
 
0.5%
2 239
 
0.3%
3 174
 
0.2%
4 152
 
0.2%
ValueCountFrequency (%)
255 418
0.6%
254 81
 
0.1%
253 60
 
0.1%
252 61
 
0.1%
251 51
 
0.1%

158
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.6024857
Minimum0
Maximum255
Zeros18711
Zeros (%)26.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:25.837277image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median122
Q3197
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)197

Descriptive statistics

Standard deviation89.51504883
Coefficient of variation (CV)0.8020883071
Kurtosis-1.561828885
Mean111.6024857
Median Absolute Deviation (MAD)89
Skewness-0.04511136796
Sum7812174
Variance8012.943967
MonotonicityNot monotonic
2025-03-23T12:49:25.993495image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18711
 
26.7%
255 639
 
0.9%
223 442
 
0.6%
219 441
 
0.6%
215 426
 
0.6%
226 421
 
0.6%
222 420
 
0.6%
228 410
 
0.6%
221 402
 
0.6%
216 401
 
0.6%
Other values (246) 47287
67.6%
ValueCountFrequency (%)
0 18711
26.7%
1 397
 
0.6%
2 302
 
0.4%
3 208
 
0.3%
4 162
 
0.2%
ValueCountFrequency (%)
255 639
0.9%
254 118
 
0.2%
253 88
 
0.1%
252 78
 
0.1%
251 84
 
0.1%

159
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.1369429
Minimum0
Maximum255
Zeros21670
Zeros (%)31.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:26.134081image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median100
Q3189
95-th percentile231
Maximum255
Range255
Interquartile range (IQR)189

Descriptive statistics

Standard deviation89.19191767
Coefficient of variation (CV)0.8818925622
Kurtosis-1.564826639
Mean101.1369429
Median Absolute Deviation (MAD)100
Skewness0.1266621156
Sum7079586
Variance7955.198178
MonotonicityNot monotonic
2025-03-23T12:49:26.274678image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21670
31.0%
1 456
 
0.7%
255 398
 
0.6%
216 398
 
0.6%
215 387
 
0.6%
2 382
 
0.5%
223 372
 
0.5%
224 370
 
0.5%
226 368
 
0.5%
213 364
 
0.5%
Other values (246) 44835
64.0%
ValueCountFrequency (%)
0 21670
31.0%
1 456
 
0.7%
2 382
 
0.5%
3 277
 
0.4%
4 231
 
0.3%
ValueCountFrequency (%)
255 398
0.6%
254 75
 
0.1%
253 63
 
0.1%
252 65
 
0.1%
251 58
 
0.1%

160
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.10691429
Minimum0
Maximum255
Zeros28527
Zeros (%)40.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:26.415229image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median52
Q3177
95-th percentile230
Maximum255
Range255
Interquartile range (IQR)177

Descriptive statistics

Standard deviation90.18856055
Coefficient of variation (CV)1.059708971
Kurtosis-1.456952598
Mean85.10691429
Median Absolute Deviation (MAD)52
Skewness0.4318599766
Sum5957484
Variance8133.976455
MonotonicityNot monotonic
2025-03-23T12:49:26.930739image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28527
40.8%
1 687
 
1.0%
2 484
 
0.7%
255 375
 
0.5%
3 351
 
0.5%
222 338
 
0.5%
213 326
 
0.5%
214 325
 
0.5%
221 324
 
0.5%
220 324
 
0.5%
Other values (246) 37939
54.2%
ValueCountFrequency (%)
0 28527
40.8%
1 687
 
1.0%
2 484
 
0.7%
3 351
 
0.5%
4 234
 
0.3%
ValueCountFrequency (%)
255 375
0.5%
254 70
 
0.1%
253 53
 
0.1%
252 45
 
0.1%
251 55
 
0.1%

161
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.78334286
Minimum0
Maximum255
Zeros33405
Zeros (%)47.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:27.071367image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q3162
95-th percentile229
Maximum255
Range255
Interquartile range (IQR)162

Descriptive statistics

Standard deviation88.72924442
Coefficient of variation (CV)1.202564712
Kurtosis-1.212923997
Mean73.78334286
Median Absolute Deviation (MAD)4
Skewness0.6646114953
Sum5164834
Variance7872.878815
MonotonicityNot monotonic
2025-03-23T12:49:27.227536image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33405
47.7%
1 745
 
1.1%
2 501
 
0.7%
255 315
 
0.4%
3 309
 
0.4%
215 274
 
0.4%
221 273
 
0.4%
210 268
 
0.4%
219 266
 
0.4%
211 266
 
0.4%
Other values (246) 33378
47.7%
ValueCountFrequency (%)
0 33405
47.7%
1 745
 
1.1%
2 501
 
0.7%
3 309
 
0.4%
4 230
 
0.3%
ValueCountFrequency (%)
255 315
0.4%
254 64
 
0.1%
253 54
 
0.1%
252 51
 
0.1%
251 53
 
0.1%

162
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.76468571
Minimum0
Maximum255
Zeros38744
Zeros (%)55.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:27.368165image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3124
95-th percentile225
Maximum255
Range255
Interquartile range (IQR)124

Descriptive statistics

Standard deviation83.24970531
Coefficient of variation (CV)1.416662138
Kurtosis-0.5600261298
Mean58.76468571
Median Absolute Deviation (MAD)0
Skewness1.0244734
Sum4113528
Variance6930.513435
MonotonicityNot monotonic
2025-03-23T12:49:27.508762image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 38744
55.3%
1 872
 
1.2%
2 588
 
0.8%
3 339
 
0.5%
255 259
 
0.4%
4 210
 
0.3%
225 203
 
0.3%
213 199
 
0.3%
200 196
 
0.3%
212 195
 
0.3%
Other values (246) 28195
40.3%
ValueCountFrequency (%)
0 38744
55.3%
1 872
 
1.2%
2 588
 
0.8%
3 339
 
0.5%
4 210
 
0.3%
ValueCountFrequency (%)
255 259
0.4%
254 56
 
0.1%
253 40
 
0.1%
252 45
 
0.1%
251 42
 
0.1%

163
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.09778571
Minimum0
Maximum255
Zeros46900
Zeros (%)67.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:27.664934image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q336
95-th percentile213
Maximum255
Range255
Interquartile range (IQR)36

Descriptive statistics

Standard deviation71.41464233
Coefficient of variation (CV)1.874509003
Kurtosis1.430437854
Mean38.09778571
Median Absolute Deviation (MAD)0
Skewness1.707503856
Sum2666845
Variance5100.051139
MonotonicityNot monotonic
2025-03-23T12:49:27.815484image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46900
67.0%
1 1061
 
1.5%
2 655
 
0.9%
3 413
 
0.6%
4 249
 
0.4%
5 198
 
0.3%
255 194
 
0.3%
6 166
 
0.2%
7 142
 
0.2%
225 121
 
0.2%
Other values (246) 19901
28.4%
ValueCountFrequency (%)
0 46900
67.0%
1 1061
 
1.5%
2 655
 
0.9%
3 413
 
0.6%
4 249
 
0.4%
ValueCountFrequency (%)
255 194
0.3%
254 35
 
0.1%
253 27
 
< 0.1%
252 35
 
0.1%
251 35
 
0.1%

164
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.48821429
Minimum0
Maximum255
Zeros55247
Zeros (%)78.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:27.956075image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile188
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation57.78086051
Coefficient of variation (CV)2.569384113
Kurtosis5.481676141
Mean22.48821429
Median Absolute Deviation (MAD)0
Skewness2.597822227
Sum1574175
Variance3338.627841
MonotonicityNot monotonic
2025-03-23T12:49:28.112296image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55247
78.9%
1 1019
 
1.5%
2 597
 
0.9%
3 415
 
0.6%
4 270
 
0.4%
5 195
 
0.3%
6 142
 
0.2%
255 142
 
0.2%
7 99
 
0.1%
8 87
 
0.1%
Other values (246) 11787
 
16.8%
ValueCountFrequency (%)
0 55247
78.9%
1 1019
 
1.5%
2 597
 
0.9%
3 415
 
0.6%
4 270
 
0.4%
ValueCountFrequency (%)
255 142
0.2%
254 20
 
< 0.1%
253 20
 
< 0.1%
252 14
 
< 0.1%
251 13
 
< 0.1%

165
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.30008571
Minimum0
Maximum255
Zeros60244
Zeros (%)86.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:28.252883image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile133
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation44.90706261
Coefficient of variation (CV)3.376449113
Kurtosis12.33227102
Mean13.30008571
Median Absolute Deviation (MAD)0
Skewness3.619317658
Sum931006
Variance2016.644272
MonotonicityNot monotonic
2025-03-23T12:49:28.409057image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60244
86.1%
1 911
 
1.3%
2 516
 
0.7%
3 308
 
0.4%
5 183
 
0.3%
4 182
 
0.3%
6 115
 
0.2%
255 85
 
0.1%
7 73
 
0.1%
8 63
 
0.1%
Other values (246) 7320
 
10.5%
ValueCountFrequency (%)
0 60244
86.1%
1 911
 
1.3%
2 516
 
0.7%
3 308
 
0.4%
4 182
 
0.3%
ValueCountFrequency (%)
255 85
0.1%
254 17
 
< 0.1%
253 10
 
< 0.1%
252 15
 
< 0.1%
251 8
 
< 0.1%

166
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.850171429
Minimum0
Maximum255
Zeros63661
Zeros (%)90.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:28.549697image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile36
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation31.81353097
Coefficient of variation (CV)4.644194865
Kurtosis28.98200655
Mean6.850171429
Median Absolute Deviation (MAD)0
Skewness5.311035505
Sum479512
Variance1012.100753
MonotonicityNot monotonic
2025-03-23T12:49:28.705899image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63661
90.9%
1 824
 
1.2%
2 472
 
0.7%
3 290
 
0.4%
4 181
 
0.3%
5 126
 
0.2%
6 83
 
0.1%
7 75
 
0.1%
255 59
 
0.1%
9 46
 
0.1%
Other values (246) 4183
 
6.0%
ValueCountFrequency (%)
0 63661
90.9%
1 824
 
1.2%
2 472
 
0.7%
3 290
 
0.4%
4 181
 
0.3%
ValueCountFrequency (%)
255 59
0.1%
254 14
 
< 0.1%
253 5
 
< 0.1%
252 1
 
< 0.1%
251 5
 
< 0.1%

167
Real number (ℝ)

Zeros 

Distinct203
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.528385714
Minimum0
Maximum255
Zeros67045
Zeros (%)95.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:28.846491image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.18165013
Coefficient of variation (CV)7.970272173
Kurtosis120.7618867
Mean1.528385714
Median Absolute Deviation (MAD)0
Skewness10.29523859
Sum106987
Variance148.3925999
MonotonicityNot monotonic
2025-03-23T12:49:29.002706image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67045
95.8%
1 594
 
0.8%
2 369
 
0.5%
3 185
 
0.3%
4 129
 
0.2%
5 58
 
0.1%
6 55
 
0.1%
24 29
 
< 0.1%
21 25
 
< 0.1%
16 25
 
< 0.1%
Other values (193) 1486
 
2.1%
ValueCountFrequency (%)
0 67045
95.8%
1 594
 
0.8%
2 369
 
0.5%
3 185
 
0.3%
4 129
 
0.2%
ValueCountFrequency (%)
255 1
< 0.1%
254 1
< 0.1%
226 1
< 0.1%
224 1
< 0.1%
221 1
< 0.1%

168
Real number (ℝ)

Zeros 

Distinct168
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4716
Minimum0
Maximum227
Zeros68841
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:29.158880image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum227
Range227
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.00397703
Coefficient of variation (CV)14.85152042
Kurtosis399.8003082
Mean0.4716
Median Absolute Deviation (MAD)0
Skewness18.95736213
Sum33012
Variance49.05569424
MonotonicityNot monotonic
2025-03-23T12:49:29.299512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68841
98.3%
1 324
 
0.5%
2 158
 
0.2%
3 111
 
0.2%
4 45
 
0.1%
5 40
 
0.1%
6 27
 
< 0.1%
7 24
 
< 0.1%
8 13
 
< 0.1%
10 11
 
< 0.1%
Other values (158) 406
 
0.6%
ValueCountFrequency (%)
0 68841
98.3%
1 324
 
0.5%
2 158
 
0.2%
3 111
 
0.2%
4 45
 
0.1%
ValueCountFrequency (%)
227 1
< 0.1%
211 1
< 0.1%
202 2
< 0.1%
200 1
< 0.1%
195 1
< 0.1%

169
Real number (ℝ)

Zeros 

Distinct250
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.791128571
Minimum0
Maximum255
Zeros68038
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:29.455723image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.63840391
Coefficient of variation (CV)9.289340908
Kurtosis125.2064515
Mean1.791128571
Median Absolute Deviation (MAD)0
Skewness10.84356511
Sum125379
Variance276.8364847
MonotonicityNot monotonic
2025-03-23T12:49:29.596318image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68038
97.2%
1 364
 
0.5%
2 175
 
0.2%
3 118
 
0.2%
5 66
 
0.1%
4 60
 
0.1%
6 40
 
0.1%
7 26
 
< 0.1%
8 20
 
< 0.1%
26 14
 
< 0.1%
Other values (240) 1079
 
1.5%
ValueCountFrequency (%)
0 68038
97.2%
1 364
 
0.5%
2 175
 
0.2%
3 118
 
0.2%
4 60
 
0.1%
ValueCountFrequency (%)
255 13
< 0.1%
254 5
 
< 0.1%
253 2
 
< 0.1%
252 1
 
< 0.1%
251 1
 
< 0.1%

170
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.666614286
Minimum0
Maximum255
Zeros66616
Zeros (%)95.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:29.752529image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation23.62607608
Coefficient of variation (CV)6.443567346
Kurtosis56.34493613
Mean3.666614286
Median Absolute Deviation (MAD)0
Skewness7.338946253
Sum256663
Variance558.191471
MonotonicityNot monotonic
2025-03-23T12:49:29.908703image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66616
95.2%
1 478
 
0.7%
2 263
 
0.4%
3 164
 
0.2%
4 107
 
0.2%
5 72
 
0.1%
6 44
 
0.1%
7 37
 
0.1%
8 30
 
< 0.1%
9 29
 
< 0.1%
Other values (246) 2160
 
3.1%
ValueCountFrequency (%)
0 66616
95.2%
1 478
 
0.7%
2 263
 
0.4%
3 164
 
0.2%
4 107
 
0.2%
ValueCountFrequency (%)
255 19
< 0.1%
254 2
 
< 0.1%
253 3
 
< 0.1%
252 3
 
< 0.1%
251 1
 
< 0.1%

171
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8641
Minimum0
Maximum255
Zeros63049
Zeros (%)90.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:30.049335image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile72
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation36.20703348
Coefficient of variation (CV)4.084682424
Kurtosis20.65606659
Mean8.8641
Median Absolute Deviation (MAD)0
Skewness4.547956072
Sum620487
Variance1310.949273
MonotonicityNot monotonic
2025-03-23T12:49:30.205509image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63049
90.1%
1 564
 
0.8%
2 369
 
0.5%
3 233
 
0.3%
4 146
 
0.2%
5 112
 
0.2%
6 72
 
0.1%
7 58
 
0.1%
8 57
 
0.1%
13 54
 
0.1%
Other values (245) 5286
 
7.6%
ValueCountFrequency (%)
0 63049
90.1%
1 564
 
0.8%
2 369
 
0.5%
3 233
 
0.3%
4 146
 
0.2%
ValueCountFrequency (%)
255 36
0.1%
254 5
 
< 0.1%
253 10
 
< 0.1%
252 9
 
< 0.1%
250 7
 
< 0.1%

172
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.90945714
Minimum0
Maximum255
Zeros55446
Zeros (%)79.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:30.361746image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile182
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation57.19024828
Coefficient of variation (CV)2.496359819
Kurtosis5.312948595
Mean22.90945714
Median Absolute Deviation (MAD)0
Skewness2.547057145
Sum1603662
Variance3270.724498
MonotonicityNot monotonic
2025-03-23T12:49:30.502357image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55446
79.2%
1 617
 
0.9%
2 382
 
0.5%
3 237
 
0.3%
4 192
 
0.3%
5 140
 
0.2%
255 113
 
0.2%
6 100
 
0.1%
7 93
 
0.1%
11 84
 
0.1%
Other values (246) 12596
 
18.0%
ValueCountFrequency (%)
0 55446
79.2%
1 617
 
0.9%
2 382
 
0.5%
3 237
 
0.3%
4 192
 
0.3%
ValueCountFrequency (%)
255 113
0.2%
254 21
 
< 0.1%
253 32
 
< 0.1%
252 22
 
< 0.1%
251 17
 
< 0.1%

173
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.74105714
Minimum0
Maximum255
Zeros45805
Zeros (%)65.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:30.642946image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q371
95-th percentile217
Maximum255
Range255
Interquartile range (IQR)71

Descriptive statistics

Standard deviation75.81632603
Coefficient of variation (CV)1.694558217
Kurtosis0.5137728254
Mean44.74105714
Median Absolute Deviation (MAD)0
Skewness1.433474674
Sum3131874
Variance5748.115293
MonotonicityNot monotonic
2025-03-23T12:49:30.799159image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45805
65.4%
1 508
 
0.7%
2 333
 
0.5%
3 218
 
0.3%
255 175
 
0.2%
4 155
 
0.2%
217 149
 
0.2%
216 146
 
0.2%
215 143
 
0.2%
5 143
 
0.2%
Other values (246) 22225
31.8%
ValueCountFrequency (%)
0 45805
65.4%
1 508
 
0.7%
2 333
 
0.5%
3 218
 
0.3%
4 155
 
0.2%
ValueCountFrequency (%)
255 175
0.2%
254 34
 
< 0.1%
253 33
 
< 0.1%
252 43
 
0.1%
251 39
 
0.1%

174
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.21301429
Minimum0
Maximum255
Zeros40433
Zeros (%)57.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:30.939711image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3140
95-th percentile227
Maximum255
Range255
Interquartile range (IQR)140

Descriptive statistics

Standard deviation86.29333026
Coefficient of variation (CV)1.387062357
Kurtosis-0.8118958091
Mean62.21301429
Median Absolute Deviation (MAD)0
Skewness0.9249987274
Sum4354911
Variance7446.538847
MonotonicityNot monotonic
2025-03-23T12:49:31.080338image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40433
57.8%
1 428
 
0.6%
2 289
 
0.4%
226 238
 
0.3%
218 236
 
0.3%
213 235
 
0.3%
210 230
 
0.3%
214 229
 
0.3%
217 225
 
0.3%
221 225
 
0.3%
Other values (246) 27232
38.9%
ValueCountFrequency (%)
0 40433
57.8%
1 428
 
0.6%
2 289
 
0.4%
3 167
 
0.2%
4 143
 
0.2%
ValueCountFrequency (%)
255 162
0.2%
254 69
0.1%
253 51
 
0.1%
252 38
 
0.1%
251 58
 
0.1%

175
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.52528571
Minimum0
Maximum255
Zeros35786
Zeros (%)51.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:31.220935image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3163
95-th percentile227
Maximum255
Range255
Interquartile range (IQR)163

Descriptive statistics

Standard deviation89.07436151
Coefficient of variation (CV)1.228183531
Kurtosis-1.230028505
Mean72.52528571
Median Absolute Deviation (MAD)0
Skewness0.6738070805
Sum5076770
Variance7934.241878
MonotonicityNot monotonic
2025-03-23T12:49:31.377106image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35786
51.1%
1 450
 
0.6%
2 319
 
0.5%
219 305
 
0.4%
216 302
 
0.4%
223 301
 
0.4%
214 287
 
0.4%
218 287
 
0.4%
209 286
 
0.4%
215 286
 
0.4%
Other values (246) 31391
44.8%
ValueCountFrequency (%)
0 35786
51.1%
1 450
 
0.6%
2 319
 
0.5%
3 278
 
0.4%
4 212
 
0.3%
ValueCountFrequency (%)
255 202
0.3%
254 58
 
0.1%
253 38
 
0.1%
252 31
 
< 0.1%
251 35
 
0.1%

176
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.31167143
Minimum0
Maximum255
Zeros31453
Zeros (%)44.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:31.533360image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median34
Q3174
95-th percentile229
Maximum255
Range255
Interquartile range (IQR)174

Descriptive statistics

Standard deviation90.49432914
Coefficient of variation (CV)1.112931607
Kurtosis-1.419110906
Mean81.31167143
Median Absolute Deviation (MAD)34
Skewness0.4978646311
Sum5691817
Variance8189.223607
MonotonicityNot monotonic
2025-03-23T12:49:31.673912image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31453
44.9%
1 663
 
0.9%
2 370
 
0.5%
218 330
 
0.5%
222 319
 
0.5%
217 310
 
0.4%
219 306
 
0.4%
226 305
 
0.4%
223 304
 
0.4%
216 303
 
0.4%
Other values (246) 35337
50.5%
ValueCountFrequency (%)
0 31453
44.9%
1 663
 
0.9%
2 370
 
0.5%
3 267
 
0.4%
4 221
 
0.3%
ValueCountFrequency (%)
255 294
0.4%
254 61
 
0.1%
253 41
 
0.1%
252 62
 
0.1%
251 42
 
0.1%

177
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.30464286
Minimum0
Maximum255
Zeros24758
Zeros (%)35.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:31.830161image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median87
Q3185
95-th percentile231
Maximum255
Range255
Interquartile range (IQR)185

Descriptive statistics

Standard deviation90.57997644
Coefficient of variation (CV)0.9504256427
Kurtosis-1.56600017
Mean95.30464286
Median Absolute Deviation (MAD)87
Skewness0.227684454
Sum6671325
Variance8204.732132
MonotonicityNot monotonic
2025-03-23T12:49:31.986392image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24758
35.4%
1 1081
 
1.5%
255 515
 
0.7%
2 403
 
0.6%
217 371
 
0.5%
213 364
 
0.5%
222 357
 
0.5%
227 353
 
0.5%
219 345
 
0.5%
215 339
 
0.5%
Other values (246) 41114
58.7%
ValueCountFrequency (%)
0 24758
35.4%
1 1081
 
1.5%
2 403
 
0.6%
3 229
 
0.3%
4 190
 
0.3%
ValueCountFrequency (%)
255 515
0.7%
254 100
 
0.1%
253 68
 
0.1%
252 54
 
0.1%
251 52
 
0.1%

178
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.1661571
Minimum0
Maximum255
Zeros22612
Zeros (%)32.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:32.126928image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median105
Q3193
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)193

Descriptive statistics

Standard deviation91.45587653
Coefficient of variation (CV)0.8864910651
Kurtosis-1.599431991
Mean103.1661571
Median Absolute Deviation (MAD)105
Skewness0.1002477081
Sum7221631
Variance8364.177351
MonotonicityNot monotonic
2025-03-23T12:49:32.626812image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22612
32.3%
1 733
 
1.0%
255 731
 
1.0%
216 424
 
0.6%
220 405
 
0.6%
225 400
 
0.6%
219 396
 
0.6%
215 394
 
0.6%
224 393
 
0.6%
223 388
 
0.6%
Other values (246) 43124
61.6%
ValueCountFrequency (%)
0 22612
32.3%
1 733
 
1.0%
2 380
 
0.5%
3 241
 
0.3%
4 190
 
0.3%
ValueCountFrequency (%)
255 731
1.0%
254 167
 
0.2%
253 108
 
0.2%
252 59
 
0.1%
251 59
 
0.1%

179
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.1761429
Minimum0
Maximum255
Zeros21295
Zeros (%)30.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:32.767405image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median109
Q3193
95-th percentile231
Maximum255
Range255
Interquartile range (IQR)193

Descriptive statistics

Standard deviation90.22842847
Coefficient of variation (CV)0.8661141217
Kurtosis-1.605157
Mean104.1761429
Median Absolute Deviation (MAD)102
Skewness0.06046118729
Sum7292330
Variance8141.169305
MonotonicityNot monotonic
2025-03-23T12:49:32.908036image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21295
30.4%
1 859
 
1.2%
220 464
 
0.7%
223 451
 
0.6%
221 449
 
0.6%
224 445
 
0.6%
216 443
 
0.6%
2 437
 
0.6%
217 410
 
0.6%
219 408
 
0.6%
Other values (246) 44339
63.3%
ValueCountFrequency (%)
0 21295
30.4%
1 859
 
1.2%
2 437
 
0.6%
3 333
 
0.5%
4 238
 
0.3%
ValueCountFrequency (%)
255 341
0.5%
254 62
 
0.1%
253 64
 
0.1%
252 39
 
0.1%
251 47
 
0.1%

180
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.2463286
Minimum0
Maximum255
Zeros20797
Zeros (%)29.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:33.048629image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median110
Q3195
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)195

Descriptive statistics

Standard deviation90.79476867
Coefficient of variation (CV)0.8626882277
Kurtosis-1.62142885
Mean105.2463286
Median Absolute Deviation (MAD)102
Skewness0.04689285669
Sum7367243
Variance8243.690018
MonotonicityNot monotonic
2025-03-23T12:49:33.204801image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20797
29.7%
1 910
 
1.3%
2 550
 
0.8%
225 480
 
0.7%
222 460
 
0.7%
224 454
 
0.6%
228 451
 
0.6%
221 445
 
0.6%
223 425
 
0.6%
216 425
 
0.6%
Other values (246) 44603
63.7%
ValueCountFrequency (%)
0 20797
29.7%
1 910
 
1.3%
2 550
 
0.8%
3 346
 
0.5%
4 287
 
0.4%
ValueCountFrequency (%)
255 279
0.4%
254 60
 
0.1%
253 42
 
0.1%
252 50
 
0.1%
251 39
 
0.1%

181
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.0026714
Minimum0
Maximum255
Zeros19405
Zeros (%)27.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:33.345426image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median119
Q3198
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)198

Descriptive statistics

Standard deviation91.18555645
Coefficient of variation (CV)0.8365442356
Kurtosis-1.621927285
Mean109.0026714
Median Absolute Deviation (MAD)96
Skewness-0.01415293066
Sum7630187
Variance8314.805704
MonotonicityNot monotonic
2025-03-23T12:49:33.501644image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19405
27.7%
1 1063
 
1.5%
2 621
 
0.9%
225 495
 
0.7%
224 478
 
0.7%
3 471
 
0.7%
227 461
 
0.7%
219 460
 
0.7%
228 455
 
0.7%
217 450
 
0.6%
Other values (246) 45641
65.2%
ValueCountFrequency (%)
0 19405
27.7%
1 1063
 
1.5%
2 621
 
0.9%
3 471
 
0.7%
4 323
 
0.5%
ValueCountFrequency (%)
255 325
0.5%
254 91
 
0.1%
253 49
 
0.1%
252 57
 
0.1%
251 52
 
0.1%

182
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.5450571
Minimum0
Maximum255
Zeros18469
Zeros (%)26.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:33.642237image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median128
Q3201
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)201

Descriptive statistics

Standard deviation91.0749141
Coefficient of variation (CV)0.8021037322
Kurtosis-1.595761951
Mean113.5450571
Median Absolute Deviation (MAD)88
Skewness-0.08409030194
Sum7948154
Variance8294.639979
MonotonicityNot monotonic
2025-03-23T12:49:33.782827image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18469
 
26.4%
1 831
 
1.2%
2 537
 
0.8%
255 492
 
0.7%
228 472
 
0.7%
225 467
 
0.7%
223 457
 
0.7%
221 456
 
0.7%
226 448
 
0.6%
218 443
 
0.6%
Other values (246) 46928
67.0%
ValueCountFrequency (%)
0 18469
26.4%
1 831
 
1.2%
2 537
 
0.8%
3 373
 
0.5%
4 258
 
0.4%
ValueCountFrequency (%)
255 492
0.7%
254 125
 
0.2%
253 75
 
0.1%
252 87
 
0.1%
251 64
 
0.1%

183
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.5925714
Minimum0
Maximum255
Zeros17238
Zeros (%)24.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:33.939044image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median133
Q3202
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)201

Descriptive statistics

Standard deviation89.73066761
Coefficient of variation (CV)0.7696087882
Kurtosis-1.5578458
Mean116.5925714
Median Absolute Deviation (MAD)83
Skewness-0.1394056327
Sum8161480
Variance8051.59271
MonotonicityNot monotonic
2025-03-23T12:49:34.095252image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17238
 
24.6%
1 559
 
0.8%
228 539
 
0.8%
225 518
 
0.7%
222 508
 
0.7%
224 505
 
0.7%
219 490
 
0.7%
221 483
 
0.7%
214 481
 
0.7%
231 455
 
0.7%
Other values (246) 48224
68.9%
ValueCountFrequency (%)
0 17238
24.6%
1 559
 
0.8%
2 414
 
0.6%
3 260
 
0.4%
4 212
 
0.3%
ValueCountFrequency (%)
255 367
0.5%
254 99
 
0.1%
253 58
 
0.1%
252 66
 
0.1%
251 71
 
0.1%

184
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.1598429
Minimum0
Maximum255
Zeros15754
Zeros (%)22.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:34.235848image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111
median137
Q3200
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)189

Descriptive statistics

Standard deviation87.3490607
Coefficient of variation (CV)0.7330410867
Kurtosis-1.492098145
Mean119.1598429
Median Absolute Deviation (MAD)76
Skewness-0.2011319977
Sum8341189
Variance7629.858405
MonotonicityNot monotonic
2025-03-23T12:49:34.392063image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15754
 
22.5%
225 496
 
0.7%
223 487
 
0.7%
222 480
 
0.7%
218 479
 
0.7%
220 468
 
0.7%
226 465
 
0.7%
221 462
 
0.7%
227 458
 
0.7%
228 457
 
0.7%
Other values (246) 49994
71.4%
ValueCountFrequency (%)
0 15754
22.5%
1 415
 
0.6%
2 289
 
0.4%
3 214
 
0.3%
4 179
 
0.3%
ValueCountFrequency (%)
255 370
0.5%
254 80
 
0.1%
253 51
 
0.1%
252 55
 
0.1%
251 44
 
0.1%

185
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.7394571
Minimum0
Maximum255
Zeros15306
Zeros (%)21.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:34.548278image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120
median137
Q3200
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)180

Descriptive statistics

Standard deviation86.58458879
Coefficient of variation (CV)0.7231082456
Kurtosis-1.465231198
Mean119.7394571
Median Absolute Deviation (MAD)75
Skewness-0.2070456944
Sum8381762
Variance7496.891016
MonotonicityNot monotonic
2025-03-23T12:49:34.704447image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15306
 
21.9%
219 495
 
0.7%
223 492
 
0.7%
214 487
 
0.7%
255 469
 
0.7%
221 466
 
0.7%
227 463
 
0.7%
217 462
 
0.7%
225 459
 
0.7%
213 458
 
0.7%
Other values (246) 50443
72.1%
ValueCountFrequency (%)
0 15306
21.9%
1 301
 
0.4%
2 256
 
0.4%
3 166
 
0.2%
4 177
 
0.3%
ValueCountFrequency (%)
255 469
0.7%
254 77
 
0.1%
253 69
 
0.1%
252 71
 
0.1%
251 63
 
0.1%

186
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.1092857
Minimum0
Maximum255
Zeros16234
Zeros (%)23.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:34.845075image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median132
Q3199
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)191

Descriptive statistics

Standard deviation87.58280463
Coefficient of variation (CV)0.7478724176
Kurtosis-1.496720563
Mean117.1092857
Median Absolute Deviation (MAD)79
Skewness-0.1465851009
Sum8197650
Variance7670.747667
MonotonicityNot monotonic
2025-03-23T12:49:35.001296image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16234
 
23.2%
255 610
 
0.9%
215 453
 
0.6%
224 443
 
0.6%
219 442
 
0.6%
214 428
 
0.6%
218 421
 
0.6%
223 416
 
0.6%
210 416
 
0.6%
217 416
 
0.6%
Other values (246) 49721
71.0%
ValueCountFrequency (%)
0 16234
23.2%
1 345
 
0.5%
2 258
 
0.4%
3 189
 
0.3%
4 148
 
0.2%
ValueCountFrequency (%)
255 610
0.9%
254 127
 
0.2%
253 80
 
0.1%
252 68
 
0.1%
251 82
 
0.1%

187
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.1208857
Minimum0
Maximum255
Zeros19222
Zeros (%)27.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:35.141886image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median116
Q3193
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)193

Descriptive statistics

Standard deviation88.63129942
Coefficient of variation (CV)0.8197426319
Kurtosis-1.556743543
Mean108.1208857
Median Absolute Deviation (MAD)91
Skewness0.0004343885488
Sum7568462
Variance7855.507237
MonotonicityNot monotonic
2025-03-23T12:49:35.298096image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19222
27.5%
1 491
 
0.7%
255 462
 
0.7%
219 417
 
0.6%
222 416
 
0.6%
225 404
 
0.6%
224 404
 
0.6%
216 396
 
0.6%
214 389
 
0.6%
218 387
 
0.6%
Other values (246) 47012
67.2%
ValueCountFrequency (%)
0 19222
27.5%
1 491
 
0.7%
2 349
 
0.5%
3 230
 
0.3%
4 185
 
0.3%
ValueCountFrequency (%)
255 462
0.7%
254 75
 
0.1%
253 76
 
0.1%
252 55
 
0.1%
251 75
 
0.1%

188
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.48997143
Minimum0
Maximum255
Zeros25664
Zeros (%)36.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:35.438689image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median78
Q3186
95-th percentile231
Maximum255
Range255
Interquartile range (IQR)186

Descriptive statistics

Standard deviation91.23850561
Coefficient of variation (CV)0.9759175687
Kurtosis-1.572605806
Mean93.48997143
Median Absolute Deviation (MAD)78
Skewness0.2695531551
Sum6544298
Variance8324.464906
MonotonicityNot monotonic
2025-03-23T12:49:35.594907image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25664
36.7%
1 641
 
0.9%
2 498
 
0.7%
255 374
 
0.5%
223 366
 
0.5%
215 356
 
0.5%
225 354
 
0.5%
211 352
 
0.5%
220 352
 
0.5%
216 352
 
0.5%
Other values (246) 40691
58.1%
ValueCountFrequency (%)
0 25664
36.7%
1 641
 
0.9%
2 498
 
0.7%
3 321
 
0.5%
4 231
 
0.3%
ValueCountFrequency (%)
255 374
0.5%
254 69
 
0.1%
253 61
 
0.1%
252 84
 
0.1%
251 43
 
0.1%

189
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.42585714
Minimum0
Maximum255
Zeros30225
Zeros (%)43.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:35.735452image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median40
Q3177
95-th percentile231
Maximum255
Range255
Interquartile range (IQR)177

Descriptive statistics

Standard deviation91.15766663
Coefficient of variation (CV)1.092678814
Kurtosis-1.447791127
Mean83.42585714
Median Absolute Deviation (MAD)40
Skewness0.4674225983
Sum5839810
Variance8309.720185
MonotonicityNot monotonic
2025-03-23T12:49:35.891705image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30225
43.2%
1 694
 
1.0%
2 438
 
0.6%
255 347
 
0.5%
213 319
 
0.5%
217 316
 
0.5%
216 312
 
0.4%
215 312
 
0.4%
211 304
 
0.4%
226 300
 
0.4%
Other values (246) 36433
52.0%
ValueCountFrequency (%)
0 30225
43.2%
1 694
 
1.0%
2 438
 
0.6%
3 270
 
0.4%
4 233
 
0.3%
ValueCountFrequency (%)
255 347
0.5%
254 76
 
0.1%
253 51
 
0.1%
252 58
 
0.1%
251 69
 
0.1%

190
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.55484286
Minimum0
Maximum255
Zeros35131
Zeros (%)50.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:36.032300image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3153
95-th percentile229
Maximum255
Range255
Interquartile range (IQR)153

Descriptive statistics

Standard deviation87.65115615
Coefficient of variation (CV)1.260173304
Kurtosis-1.06120768
Mean69.55484286
Median Absolute Deviation (MAD)0
Skewness0.7644721628
Sum4868839
Variance7682.725174
MonotonicityNot monotonic
2025-03-23T12:49:36.188509image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35131
50.2%
1 726
 
1.0%
2 455
 
0.7%
3 306
 
0.4%
255 299
 
0.4%
221 276
 
0.4%
225 251
 
0.4%
214 247
 
0.4%
216 242
 
0.3%
222 239
 
0.3%
Other values (246) 31828
45.5%
ValueCountFrequency (%)
0 35131
50.2%
1 726
 
1.0%
2 455
 
0.7%
3 306
 
0.4%
4 212
 
0.3%
ValueCountFrequency (%)
255 299
0.4%
254 66
 
0.1%
253 71
 
0.1%
252 60
 
0.1%
251 51
 
0.1%

191
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.21687143
Minimum0
Maximum255
Zeros43097
Zeros (%)61.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:36.329106image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q384
95-th percentile220
Maximum255
Range255
Interquartile range (IQR)84

Descriptive statistics

Standard deviation78.11700555
Coefficient of variation (CV)1.620117673
Kurtosis0.2087373605
Mean48.21687143
Median Absolute Deviation (MAD)0
Skewness1.333454412
Sum3375181
Variance6102.266556
MonotonicityNot monotonic
2025-03-23T12:49:36.469655image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43097
61.6%
1 827
 
1.2%
2 526
 
0.8%
3 315
 
0.4%
255 257
 
0.4%
4 227
 
0.3%
5 185
 
0.3%
200 171
 
0.2%
224 165
 
0.2%
210 158
 
0.2%
Other values (246) 24072
34.4%
ValueCountFrequency (%)
0 43097
61.6%
1 827
 
1.2%
2 526
 
0.8%
3 315
 
0.4%
4 227
 
0.3%
ValueCountFrequency (%)
255 257
0.4%
254 46
 
0.1%
253 44
 
0.1%
252 27
 
< 0.1%
251 46
 
0.1%

192
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.80687143
Minimum0
Maximum255
Zeros52151
Zeros (%)74.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:36.610284image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile207
Maximum255
Range255
Interquartile range (IQR)1

Descriptive statistics

Standard deviation66.89341937
Coefficient of variation (CV)2.171379834
Kurtosis2.692627551
Mean30.80687143
Median Absolute Deviation (MAD)0
Skewness2.043904949
Sum2156481
Variance4474.729555
MonotonicityNot monotonic
2025-03-23T12:49:36.750884image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 52151
74.5%
1 816
 
1.2%
2 512
 
0.7%
3 356
 
0.5%
4 231
 
0.3%
5 175
 
0.2%
255 174
 
0.2%
6 138
 
0.2%
7 120
 
0.2%
213 111
 
0.2%
Other values (246) 15216
 
21.7%
ValueCountFrequency (%)
0 52151
74.5%
1 816
 
1.2%
2 512
 
0.7%
3 356
 
0.5%
4 231
 
0.3%
ValueCountFrequency (%)
255 174
0.2%
254 35
 
0.1%
253 38
 
0.1%
252 23
 
< 0.1%
251 32
 
< 0.1%

193
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.89252857
Minimum0
Maximum255
Zeros57244
Zeros (%)81.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:36.907088image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile178
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation54.75810324
Coefficient of variation (CV)2.752696976
Kurtosis6.549943231
Mean19.89252857
Median Absolute Deviation (MAD)0
Skewness2.789145724
Sum1392477
Variance2998.449871
MonotonicityNot monotonic
2025-03-23T12:49:37.047645image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 57244
81.8%
1 876
 
1.3%
2 519
 
0.7%
3 333
 
0.5%
4 214
 
0.3%
5 181
 
0.3%
6 129
 
0.2%
255 128
 
0.2%
7 93
 
0.1%
205 73
 
0.1%
Other values (246) 10210
 
14.6%
ValueCountFrequency (%)
0 57244
81.8%
1 876
 
1.3%
2 519
 
0.7%
3 333
 
0.5%
4 214
 
0.3%
ValueCountFrequency (%)
255 128
0.2%
254 24
 
< 0.1%
253 25
 
< 0.1%
252 19
 
< 0.1%
251 15
 
< 0.1%

194
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.19102857
Minimum0
Maximum255
Zeros61656
Zeros (%)88.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:37.203898image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile91
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation38.93714416
Coefficient of variation (CV)3.820727602
Kurtosis17.9258383
Mean10.19102857
Median Absolute Deviation (MAD)0
Skewness4.254577178
Sum713372
Variance1516.101195
MonotonicityNot monotonic
2025-03-23T12:49:37.360111image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 61656
88.1%
1 883
 
1.3%
2 455
 
0.7%
3 312
 
0.4%
4 197
 
0.3%
5 147
 
0.2%
6 117
 
0.2%
255 96
 
0.1%
7 79
 
0.1%
10 58
 
0.1%
Other values (246) 6000
 
8.6%
ValueCountFrequency (%)
0 61656
88.1%
1 883
 
1.3%
2 455
 
0.7%
3 312
 
0.4%
4 197
 
0.3%
ValueCountFrequency (%)
255 96
0.1%
254 12
 
< 0.1%
253 9
 
< 0.1%
252 4
 
< 0.1%
251 6
 
< 0.1%

195
Real number (ℝ)

Zeros 

Distinct214
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.175457143
Minimum0
Maximum255
Zeros66310
Zeros (%)94.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:37.502520image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.7247381
Coefficient of variation (CV)6.768571907
Kurtosis80.76671765
Mean2.175457143
Median Absolute Deviation (MAD)0
Skewness8.474779427
Sum152282
Variance216.8179122
MonotonicityNot monotonic
2025-03-23T12:49:37.658733image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66310
94.7%
1 718
 
1.0%
2 371
 
0.5%
3 222
 
0.3%
4 127
 
0.2%
5 78
 
0.1%
6 47
 
0.1%
11 32
 
< 0.1%
19 31
 
< 0.1%
15 31
 
< 0.1%
Other values (204) 2033
 
2.9%
ValueCountFrequency (%)
0 66310
94.7%
1 718
 
1.0%
2 371
 
0.5%
3 222
 
0.3%
4 127
 
0.2%
ValueCountFrequency (%)
255 2
< 0.1%
241 1
< 0.1%
240 1
< 0.1%
239 1
< 0.1%
231 1
< 0.1%

196
Real number (ℝ)

Zeros 

Distinct191
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7472
Minimum0
Maximum255
Zeros68260
Zeros (%)97.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:37.799321image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.907325871
Coefficient of variation (CV)11.92093933
Kurtosis259.6985335
Mean0.7472
Median Absolute Deviation (MAD)0
Skewness15.23451557
Sum52304
Variance79.34045417
MonotonicityNot monotonic
2025-03-23T12:49:38.314831image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68260
97.5%
1 449
 
0.6%
2 216
 
0.3%
3 145
 
0.2%
4 98
 
0.1%
5 69
 
0.1%
6 54
 
0.1%
7 29
 
< 0.1%
8 28
 
< 0.1%
9 16
 
< 0.1%
Other values (181) 636
 
0.9%
ValueCountFrequency (%)
0 68260
97.5%
1 449
 
0.6%
2 216
 
0.3%
3 145
 
0.2%
4 98
 
0.1%
ValueCountFrequency (%)
255 1
< 0.1%
236 1
< 0.1%
226 1
< 0.1%
223 1
< 0.1%
217 1
< 0.1%

197
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6936
Minimum0
Maximum255
Zeros67416
Zeros (%)96.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:38.455379image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.64730928
Coefficient of variation (CV)7.665321237
Kurtosis80.64517159
Mean2.6936
Median Absolute Deviation (MAD)0
Skewness8.760284999
Sum188552
Variance426.3113806
MonotonicityNot monotonic
2025-03-23T12:49:38.611593image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67416
96.3%
1 393
 
0.6%
2 215
 
0.3%
3 155
 
0.2%
4 92
 
0.1%
5 68
 
0.1%
6 48
 
0.1%
8 32
 
< 0.1%
7 29
 
< 0.1%
13 19
 
< 0.1%
Other values (245) 1533
 
2.2%
ValueCountFrequency (%)
0 67416
96.3%
1 393
 
0.6%
2 215
 
0.3%
3 155
 
0.2%
4 92
 
0.1%
ValueCountFrequency (%)
255 17
< 0.1%
253 3
 
< 0.1%
252 1
 
< 0.1%
251 2
 
< 0.1%
250 1
 
< 0.1%

198
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.263757143
Minimum0
Maximum255
Zeros65684
Zeros (%)93.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:38.767846image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28.49328721
Coefficient of variation (CV)5.413108249
Kurtosis37.38246867
Mean5.263757143
Median Absolute Deviation (MAD)0
Skewness6.043120882
Sum368463
Variance811.867416
MonotonicityNot monotonic
2025-03-23T12:49:38.924055image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65684
93.8%
1 477
 
0.7%
2 256
 
0.4%
3 176
 
0.3%
4 122
 
0.2%
5 84
 
0.1%
6 66
 
0.1%
7 42
 
0.1%
13 34
 
< 0.1%
8 34
 
< 0.1%
Other values (246) 3025
 
4.3%
ValueCountFrequency (%)
0 65684
93.8%
1 477
 
0.7%
2 256
 
0.4%
3 176
 
0.3%
4 122
 
0.2%
ValueCountFrequency (%)
255 22
< 0.1%
254 2
 
< 0.1%
253 2
 
< 0.1%
252 3
 
< 0.1%
251 4
 
< 0.1%

199
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.06298571
Minimum0
Maximum255
Zeros61577
Zeros (%)88.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:39.064654image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile117
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation42.4420628
Coefficient of variation (CV)3.518371306
Kurtosis13.8735141
Mean12.06298571
Median Absolute Deviation (MAD)0
Skewness3.808544718
Sum844409
Variance1801.328695
MonotonicityNot monotonic
2025-03-23T12:49:39.220858image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 61577
88.0%
1 505
 
0.7%
2 297
 
0.4%
3 213
 
0.3%
4 142
 
0.2%
5 101
 
0.1%
6 80
 
0.1%
7 64
 
0.1%
8 61
 
0.1%
14 52
 
0.1%
Other values (246) 6908
 
9.9%
ValueCountFrequency (%)
0 61577
88.0%
1 505
 
0.7%
2 297
 
0.4%
3 213
 
0.3%
4 142
 
0.2%
ValueCountFrequency (%)
255 37
0.1%
254 14
 
< 0.1%
253 6
 
< 0.1%
252 4
 
< 0.1%
251 9
 
< 0.1%

200
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.67567143
Minimum0
Maximum255
Zeros53564
Zeros (%)76.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:39.377075image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile197
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation62.60316274
Coefficient of variation (CV)2.262028688
Kurtosis3.56992688
Mean27.67567143
Median Absolute Deviation (MAD)0
Skewness2.21361102
Sum1937297
Variance3919.155985
MonotonicityNot monotonic
2025-03-23T12:49:39.517665image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53564
76.5%
1 569
 
0.8%
2 356
 
0.5%
3 242
 
0.3%
4 169
 
0.2%
255 150
 
0.2%
5 135
 
0.2%
6 115
 
0.2%
206 91
 
0.1%
202 87
 
0.1%
Other values (246) 14522
 
20.7%
ValueCountFrequency (%)
0 53564
76.5%
1 569
 
0.8%
2 356
 
0.5%
3 242
 
0.3%
4 169
 
0.2%
ValueCountFrequency (%)
255 150
0.2%
254 42
 
0.1%
253 35
 
0.1%
252 23
 
< 0.1%
251 20
 
< 0.1%

201
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.38185714
Minimum0
Maximum255
Zeros44050
Zeros (%)62.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:39.673878image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q396
95-th percentile222
Maximum255
Range255
Interquartile range (IQR)96

Descriptive statistics

Standard deviation79.75228912
Coefficient of variation (CV)1.582956517
Kurtosis-0.006502109056
Mean50.38185714
Median Absolute Deviation (MAD)0
Skewness1.256402893
Sum3526730
Variance6360.42762
MonotonicityNot monotonic
2025-03-23T12:49:39.814476image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 44050
62.9%
1 469
 
0.7%
2 296
 
0.4%
255 279
 
0.4%
3 198
 
0.3%
222 179
 
0.3%
228 173
 
0.2%
225 166
 
0.2%
4 155
 
0.2%
201 155
 
0.2%
Other values (246) 23880
34.1%
ValueCountFrequency (%)
0 44050
62.9%
1 469
 
0.7%
2 296
 
0.4%
3 198
 
0.3%
4 155
 
0.2%
ValueCountFrequency (%)
255 279
0.4%
254 75
 
0.1%
253 41
 
0.1%
252 46
 
0.1%
251 47
 
0.1%

202
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.10297143
Minimum0
Maximum255
Zeros39113
Zeros (%)55.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:39.955064image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3154
95-th percentile230
Maximum255
Range255
Interquartile range (IQR)154

Descriptive statistics

Standard deviation88.92237088
Coefficient of variation (CV)1.32516294
Kurtosis-1.023298135
Mean67.10297143
Median Absolute Deviation (MAD)0
Skewness0.817140004
Sum4697208
Variance7907.188042
MonotonicityNot monotonic
2025-03-23T12:49:40.111280image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 39113
55.9%
1 366
 
0.5%
230 267
 
0.4%
224 259
 
0.4%
225 248
 
0.4%
215 247
 
0.4%
227 246
 
0.4%
226 246
 
0.4%
217 241
 
0.3%
2 241
 
0.3%
Other values (246) 28526
40.8%
ValueCountFrequency (%)
0 39113
55.9%
1 366
 
0.5%
2 241
 
0.3%
3 182
 
0.3%
4 128
 
0.2%
ValueCountFrequency (%)
255 221
0.3%
254 70
 
0.1%
253 63
 
0.1%
252 46
 
0.1%
251 50
 
0.1%

203
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.45565714
Minimum0
Maximum255
Zeros34907
Zeros (%)49.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:40.251869image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q3174
95-th percentile230
Maximum255
Range255
Interquartile range (IQR)174

Descriptive statistics

Standard deviation91.62625043
Coefficient of variation (CV)1.182951043
Kurtosis-1.370112418
Mean77.45565714
Median Absolute Deviation (MAD)1
Skewness0.5792893894
Sum5421896
Variance8395.369768
MonotonicityNot monotonic
2025-03-23T12:49:40.408081image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34907
49.9%
1 506
 
0.7%
221 334
 
0.5%
220 327
 
0.5%
2 319
 
0.5%
225 319
 
0.5%
217 306
 
0.4%
208 305
 
0.4%
216 303
 
0.4%
219 299
 
0.4%
Other values (246) 32075
45.8%
ValueCountFrequency (%)
0 34907
49.9%
1 506
 
0.7%
2 319
 
0.5%
3 220
 
0.3%
4 147
 
0.2%
ValueCountFrequency (%)
255 267
0.4%
254 74
 
0.1%
253 48
 
0.1%
252 42
 
0.1%
251 53
 
0.1%

204
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.3973
Minimum0
Maximum255
Zeros30021
Zeros (%)42.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:40.548634image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median45
Q3178
95-th percentile231
Maximum255
Range255
Interquartile range (IQR)178

Descriptive statistics

Standard deviation91.40765544
Coefficient of variation (CV)1.083063741
Kurtosis-1.473291186
Mean84.3973
Median Absolute Deviation (MAD)45
Skewness0.4411415839
Sum5907811
Variance8355.359472
MonotonicityNot monotonic
2025-03-23T12:49:40.704885image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30021
42.9%
1 1123
 
1.6%
2 515
 
0.7%
255 387
 
0.6%
222 340
 
0.5%
221 329
 
0.5%
220 324
 
0.5%
219 322
 
0.5%
213 322
 
0.5%
229 319
 
0.5%
Other values (246) 35998
51.4%
ValueCountFrequency (%)
0 30021
42.9%
1 1123
 
1.6%
2 515
 
0.7%
3 299
 
0.4%
4 187
 
0.3%
ValueCountFrequency (%)
255 387
0.6%
254 71
 
0.1%
253 60
 
0.1%
252 70
 
0.1%
251 49
 
0.1%

205
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.10027143
Minimum0
Maximum255
Zeros22910
Zeros (%)32.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:40.861114image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median90
Q3185
95-th percentile231
Maximum255
Range255
Interquartile range (IQR)185

Descriptive statistics

Standard deviation90.26058641
Coefficient of variation (CV)0.9392334181
Kurtosis-1.564474922
Mean96.10027143
Median Absolute Deviation (MAD)90
Skewness0.2123061174
Sum6727019
Variance8146.97346
MonotonicityNot monotonic
2025-03-23T12:49:41.032938image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22910
32.7%
1 1882
 
2.7%
2 702
 
1.0%
255 556
 
0.8%
3 427
 
0.6%
222 364
 
0.5%
216 363
 
0.5%
215 352
 
0.5%
224 350
 
0.5%
208 348
 
0.5%
Other values (246) 41746
59.6%
ValueCountFrequency (%)
0 22910
32.7%
1 1882
 
2.7%
2 702
 
1.0%
3 427
 
0.6%
4 252
 
0.4%
ValueCountFrequency (%)
255 556
0.8%
254 103
 
0.1%
253 85
 
0.1%
252 62
 
0.1%
251 56
 
0.1%

206
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.1058286
Minimum0
Maximum255
Zeros21292
Zeros (%)30.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:41.173524image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median107.5
Q3193
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)193

Descriptive statistics

Standard deviation90.90389537
Coefficient of variation (CV)0.8731873769
Kurtosis-1.590384195
Mean104.1058286
Median Absolute Deviation (MAD)103.5
Skewness0.0804279155
Sum7287408
Variance8263.518193
MonotonicityNot monotonic
2025-03-23T12:49:41.329741image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21292
30.4%
1 1139
 
1.6%
255 784
 
1.1%
2 532
 
0.8%
214 415
 
0.6%
221 411
 
0.6%
217 404
 
0.6%
222 398
 
0.6%
225 397
 
0.6%
218 392
 
0.6%
Other values (246) 43836
62.6%
ValueCountFrequency (%)
0 21292
30.4%
1 1139
 
1.6%
2 532
 
0.8%
3 310
 
0.4%
4 227
 
0.3%
ValueCountFrequency (%)
255 784
1.1%
254 149
 
0.2%
253 94
 
0.1%
252 69
 
0.1%
251 68
 
0.1%

207
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.9588429
Minimum0
Maximum255
Zeros19973
Zeros (%)28.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:41.470330image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median113
Q3193
95-th percentile231
Maximum255
Range255
Interquartile range (IQR)193

Descriptive statistics

Standard deviation89.86324148
Coefficient of variation (CV)0.8480957233
Kurtosis-1.594777754
Mean105.9588429
Median Absolute Deviation (MAD)98
Skewness0.02789053602
Sum7417119
Variance8075.402169
MonotonicityNot monotonic
2025-03-23T12:49:41.610928image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19973
28.5%
1 1207
 
1.7%
2 642
 
0.9%
224 437
 
0.6%
222 436
 
0.6%
223 432
 
0.6%
255 426
 
0.6%
225 426
 
0.6%
216 421
 
0.6%
221 419
 
0.6%
Other values (246) 45181
64.5%
ValueCountFrequency (%)
0 19973
28.5%
1 1207
 
1.7%
2 642
 
0.9%
3 389
 
0.6%
4 268
 
0.4%
ValueCountFrequency (%)
255 426
0.6%
254 90
 
0.1%
253 56
 
0.1%
252 70
 
0.1%
251 59
 
0.1%

208
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.2092857
Minimum0
Maximum255
Zeros19520
Zeros (%)27.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:41.751513image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median114
Q3196
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)196

Descriptive statistics

Standard deviation90.28044263
Coefficient of variation (CV)0.8420953654
Kurtosis-1.606871365
Mean107.2092857
Median Absolute Deviation (MAD)97
Skewness0.01257995776
Sum7504650
Variance8150.558322
MonotonicityNot monotonic
2025-03-23T12:49:41.907731image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19520
27.9%
1 1145
 
1.6%
2 611
 
0.9%
225 459
 
0.7%
226 446
 
0.6%
223 441
 
0.6%
221 437
 
0.6%
228 436
 
0.6%
224 435
 
0.6%
222 434
 
0.6%
Other values (246) 45636
65.2%
ValueCountFrequency (%)
0 19520
27.9%
1 1145
 
1.6%
2 611
 
0.9%
3 419
 
0.6%
4 296
 
0.4%
ValueCountFrequency (%)
255 331
0.5%
254 70
 
0.1%
253 71
 
0.1%
252 57
 
0.1%
251 51
 
0.1%

209
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.1613429
Minimum0
Maximum255
Zeros16765
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:42.095145image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median123
Q3198
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)197

Descriptive statistics

Standard deviation90.10056809
Coefficient of variation (CV)0.8105386798
Kurtosis-1.591099194
Mean111.1613429
Median Absolute Deviation (MAD)90
Skewness-0.04904619666
Sum7781294
Variance8118.11237
MonotonicityNot monotonic
2025-03-23T12:49:42.313844image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16765
 
23.9%
1 1405
 
2.0%
2 953
 
1.4%
3 701
 
1.0%
4 491
 
0.7%
226 463
 
0.7%
221 458
 
0.7%
228 456
 
0.7%
223 456
 
0.7%
219 449
 
0.6%
Other values (246) 47403
67.7%
ValueCountFrequency (%)
0 16765
23.9%
1 1405
 
2.0%
2 953
 
1.4%
3 701
 
1.0%
4 491
 
0.7%
ValueCountFrequency (%)
255 369
0.5%
254 90
 
0.1%
253 80
 
0.1%
252 58
 
0.1%
251 67
 
0.1%

210
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.9662714
Minimum0
Maximum255
Zeros16137
Zeros (%)23.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:42.470055image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median131
Q3200
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)198

Descriptive statistics

Standard deviation89.10100596
Coefficient of variation (CV)0.7683355243
Kurtosis-1.541537948
Mean115.9662714
Median Absolute Deviation (MAD)82
Skewness-0.1287593872
Sum8117639
Variance7938.989262
MonotonicityNot monotonic
2025-03-23T12:49:42.641933image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16137
 
23.1%
1 926
 
1.3%
2 627
 
0.9%
255 519
 
0.7%
219 485
 
0.7%
214 464
 
0.7%
228 458
 
0.7%
225 448
 
0.6%
220 443
 
0.6%
3 440
 
0.6%
Other values (246) 49053
70.1%
ValueCountFrequency (%)
0 16137
23.1%
1 926
 
1.3%
2 627
 
0.9%
3 440
 
0.6%
4 340
 
0.5%
ValueCountFrequency (%)
255 519
0.7%
254 105
 
0.1%
253 93
 
0.1%
252 98
 
0.1%
251 69
 
0.1%

211
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122.2952286
Minimum0
Maximum255
Zeros14845
Zeros (%)21.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:42.782520image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q118
median141
Q3204
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)186

Descriptive statistics

Standard deviation88.36619339
Coefficient of variation (CV)0.7225645221
Kurtosis-1.479695818
Mean122.2952286
Median Absolute Deviation (MAD)76
Skewness-0.2242864136
Sum8560666
Variance7808.584134
MonotonicityNot monotonic
2025-03-23T12:49:42.938736image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14845
 
21.2%
255 618
 
0.9%
228 516
 
0.7%
1 503
 
0.7%
220 496
 
0.7%
225 496
 
0.7%
219 493
 
0.7%
226 485
 
0.7%
221 480
 
0.7%
223 473
 
0.7%
Other values (246) 50595
72.3%
ValueCountFrequency (%)
0 14845
21.2%
1 503
 
0.7%
2 381
 
0.5%
3 286
 
0.4%
4 207
 
0.3%
ValueCountFrequency (%)
255 618
0.9%
254 131
 
0.2%
253 107
 
0.2%
252 91
 
0.1%
251 81
 
0.1%

212
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125.6862857
Minimum0
Maximum255
Zeros13120
Zeros (%)18.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:43.079287image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q141
median146
Q3202
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)161

Descriptive statistics

Standard deviation85.01211089
Coefficient of variation (CV)0.6763833493
Kurtosis-1.372621977
Mean125.6862857
Median Absolute Deviation (MAD)68
Skewness-0.3124947992
Sum8798040
Variance7227.058998
MonotonicityNot monotonic
2025-03-23T12:49:43.235538image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13120
 
18.7%
221 527
 
0.8%
216 504
 
0.7%
222 502
 
0.7%
218 494
 
0.7%
214 485
 
0.7%
225 483
 
0.7%
224 483
 
0.7%
226 471
 
0.7%
228 469
 
0.7%
Other values (246) 52462
74.9%
ValueCountFrequency (%)
0 13120
18.7%
1 382
 
0.5%
2 276
 
0.4%
3 184
 
0.3%
4 176
 
0.3%
ValueCountFrequency (%)
255 440
0.6%
254 101
 
0.1%
253 56
 
0.1%
252 56
 
0.1%
251 63
 
0.1%

213
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.0779286
Minimum0
Maximum255
Zeros12540
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:43.376131image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q145
median145
Q3201
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)156

Descriptive statistics

Standard deviation84.04688401
Coefficient of variation (CV)0.6666264663
Kurtosis-1.342240632
Mean126.0779286
Median Absolute Deviation (MAD)67
Skewness-0.3149383626
Sum8825455
Variance7063.878711
MonotonicityNot monotonic
2025-03-23T12:49:43.532347image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12540
 
17.9%
255 576
 
0.8%
219 507
 
0.7%
217 497
 
0.7%
216 491
 
0.7%
215 483
 
0.7%
223 475
 
0.7%
218 462
 
0.7%
221 460
 
0.7%
214 459
 
0.7%
Other values (246) 53050
75.8%
ValueCountFrequency (%)
0 12540
17.9%
1 319
 
0.5%
2 250
 
0.4%
3 166
 
0.2%
4 140
 
0.2%
ValueCountFrequency (%)
255 576
0.8%
254 91
 
0.1%
253 73
 
0.1%
252 74
 
0.1%
251 69
 
0.1%

214
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122.2439571
Minimum0
Maximum255
Zeros13877
Zeros (%)19.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:44.063431image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q133
median139
Q3200
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)167

Descriptive statistics

Standard deviation85.5696414
Coefficient of variation (CV)0.6999907677
Kurtosis-1.411835378
Mean122.2439571
Median Absolute Deviation (MAD)72
Skewness-0.2369377986
Sum8557077
Variance7322.16353
MonotonicityNot monotonic
2025-03-23T12:49:44.204063image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13877
 
19.8%
255 634
 
0.9%
210 485
 
0.7%
220 476
 
0.7%
215 456
 
0.7%
213 448
 
0.6%
216 446
 
0.6%
224 445
 
0.6%
209 442
 
0.6%
219 441
 
0.6%
Other values (246) 51850
74.1%
ValueCountFrequency (%)
0 13877
19.8%
1 344
 
0.5%
2 247
 
0.4%
3 198
 
0.3%
4 166
 
0.2%
ValueCountFrequency (%)
255 634
0.9%
254 133
 
0.2%
253 93
 
0.1%
252 76
 
0.1%
251 78
 
0.1%

215
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.2110714
Minimum0
Maximum255
Zeros17017
Zeros (%)24.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:44.360277image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median127
Q3197
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)196

Descriptive statistics

Standard deviation87.8547461
Coefficient of variation (CV)0.7692314327
Kurtosis-1.519542349
Mean114.2110714
Median Absolute Deviation (MAD)83
Skewness-0.1039242929
Sum7994775
Variance7718.456413
MonotonicityNot monotonic
2025-03-23T12:49:44.500865image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17017
 
24.3%
255 497
 
0.7%
1 496
 
0.7%
225 431
 
0.6%
223 422
 
0.6%
216 421
 
0.6%
221 419
 
0.6%
219 415
 
0.6%
214 415
 
0.6%
210 411
 
0.6%
Other values (246) 49056
70.1%
ValueCountFrequency (%)
0 17017
24.3%
1 496
 
0.7%
2 348
 
0.5%
3 217
 
0.3%
4 170
 
0.2%
ValueCountFrequency (%)
255 497
0.7%
254 100
 
0.1%
253 82
 
0.1%
252 69
 
0.1%
251 59
 
0.1%

216
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.7845857
Minimum0
Maximum255
Zeros22882
Zeros (%)32.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:44.657076image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median101
Q3194
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)194

Descriptive statistics

Standard deviation92.07678464
Coefficient of variation (CV)0.9046240548
Kurtosis-1.625076252
Mean101.7845857
Median Absolute Deviation (MAD)101
Skewness0.1231877527
Sum7124921
Variance8478.13427
MonotonicityNot monotonic
2025-03-23T12:49:44.813319image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22882
32.7%
1 769
 
1.1%
2 543
 
0.8%
255 471
 
0.7%
217 420
 
0.6%
218 401
 
0.6%
221 399
 
0.6%
211 396
 
0.6%
215 391
 
0.6%
216 389
 
0.6%
Other values (246) 42939
61.3%
ValueCountFrequency (%)
0 22882
32.7%
1 769
 
1.1%
2 543
 
0.8%
3 314
 
0.4%
4 220
 
0.3%
ValueCountFrequency (%)
255 471
0.7%
254 92
 
0.1%
253 78
 
0.1%
252 73
 
0.1%
251 74
 
0.1%

217
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.5506
Minimum0
Maximum255
Zeros27392
Zeros (%)39.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:44.953888image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median72
Q3188
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)188

Descriptive statistics

Standard deviation92.89286762
Coefficient of variation (CV)1.003698168
Kurtosis-1.586943356
Mean92.5506
Median Absolute Deviation (MAD)72
Skewness0.2943941647
Sum6478542
Variance8629.084855
MonotonicityNot monotonic
2025-03-23T12:49:45.110099image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27392
39.1%
1 691
 
1.0%
2 433
 
0.6%
217 411
 
0.6%
255 396
 
0.6%
220 370
 
0.5%
227 360
 
0.5%
214 353
 
0.5%
221 351
 
0.5%
224 349
 
0.5%
Other values (246) 38894
55.6%
ValueCountFrequency (%)
0 27392
39.1%
1 691
 
1.0%
2 433
 
0.6%
3 295
 
0.4%
4 206
 
0.3%
ValueCountFrequency (%)
255 396
0.6%
254 74
 
0.1%
253 71
 
0.1%
252 63
 
0.1%
251 52
 
0.1%

218
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.97998571
Minimum0
Maximum255
Zeros31633
Zeros (%)45.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:45.250687image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median22
Q3171
95-th percentile231
Maximum255
Range255
Interquartile range (IQR)171

Descriptive statistics

Standard deviation90.51026754
Coefficient of variation (CV)1.14598992
Kurtosis-1.339207489
Mean78.97998571
Median Absolute Deviation (MAD)22
Skewness0.5677755278
Sum5528599
Variance8192.10853
MonotonicityNot monotonic
2025-03-23T12:49:45.406900image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31633
45.2%
1 780
 
1.1%
2 471
 
0.7%
255 359
 
0.5%
3 323
 
0.5%
220 290
 
0.4%
213 290
 
0.4%
210 290
 
0.4%
221 287
 
0.4%
218 287
 
0.4%
Other values (246) 34990
50.0%
ValueCountFrequency (%)
0 31633
45.2%
1 780
 
1.1%
2 471
 
0.7%
3 323
 
0.5%
4 228
 
0.3%
ValueCountFrequency (%)
255 359
0.5%
254 77
 
0.1%
253 76
 
0.1%
252 72
 
0.1%
251 70
 
0.1%

219
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.55074286
Minimum0
Maximum255
Zeros39273
Zeros (%)56.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:45.547497image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3121
95-th percentile224
Maximum255
Range255
Interquartile range (IQR)121

Descriptive statistics

Standard deviation82.8750426
Coefficient of variation (CV)1.440034281
Kurtosis-0.5004007407
Mean57.55074286
Median Absolute Deviation (MAD)0
Skewness1.056977615
Sum4028552
Variance6868.272686
MonotonicityNot monotonic
2025-03-23T12:49:45.703708image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 39273
56.1%
1 756
 
1.1%
2 511
 
0.7%
3 329
 
0.5%
255 274
 
0.4%
4 270
 
0.4%
210 204
 
0.3%
212 199
 
0.3%
5 198
 
0.3%
226 196
 
0.3%
Other values (246) 27790
39.7%
ValueCountFrequency (%)
0 39273
56.1%
1 756
 
1.1%
2 511
 
0.7%
3 329
 
0.5%
4 270
 
0.4%
ValueCountFrequency (%)
255 274
0.4%
254 63
 
0.1%
253 34
 
< 0.1%
252 37
 
0.1%
251 43
 
0.1%

220
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.8607
Minimum0
Maximum255
Zeros48501
Zeros (%)69.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:45.859881image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q328
95-th percentile215
Maximum255
Range255
Interquartile range (IQR)28

Descriptive statistics

Standard deviation73.58244502
Coefficient of variation (CV)1.893492526
Kurtosis1.187017532
Mean38.8607
Median Absolute Deviation (MAD)0
Skewness1.663575918
Sum2720249
Variance5414.376215
MonotonicityNot monotonic
2025-03-23T12:49:46.000510image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 48501
69.3%
1 844
 
1.2%
2 510
 
0.7%
3 337
 
0.5%
4 267
 
0.4%
255 199
 
0.3%
5 194
 
0.3%
6 187
 
0.3%
212 143
 
0.2%
203 142
 
0.2%
Other values (246) 18676
 
26.7%
ValueCountFrequency (%)
0 48501
69.3%
1 844
 
1.2%
2 510
 
0.7%
3 337
 
0.5%
4 267
 
0.4%
ValueCountFrequency (%)
255 199
0.3%
254 40
 
0.1%
253 37
 
0.1%
252 33
 
< 0.1%
251 33
 
< 0.1%

221
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.8301
Minimum0
Maximum255
Zeros54099
Zeros (%)77.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:46.156724image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile198
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation63.00768755
Coefficient of variation (CV)2.348395554
Kurtosis3.664408854
Mean26.8301
Median Absolute Deviation (MAD)0
Skewness2.258313121
Sum1878107
Variance3969.968691
MonotonicityNot monotonic
2025-03-23T12:49:46.297315image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54099
77.3%
1 842
 
1.2%
2 539
 
0.8%
3 352
 
0.5%
4 250
 
0.4%
5 196
 
0.3%
255 195
 
0.3%
6 152
 
0.2%
7 101
 
0.1%
198 98
 
0.1%
Other values (246) 13176
 
18.8%
ValueCountFrequency (%)
0 54099
77.3%
1 842
 
1.2%
2 539
 
0.8%
3 352
 
0.5%
4 250
 
0.4%
ValueCountFrequency (%)
255 195
0.3%
254 17
 
< 0.1%
253 28
 
< 0.1%
252 31
 
< 0.1%
251 26
 
< 0.1%

222
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.52385714
Minimum0
Maximum255
Zeros59497
Zeros (%)85.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:46.453531image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile130
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation44.48671828
Coefficient of variation (CV)3.289499276
Kurtosis12.27569762
Mean13.52385714
Median Absolute Deviation (MAD)0
Skewness3.5901362
Sum946670
Variance1979.068103
MonotonicityNot monotonic
2025-03-23T12:49:46.594084image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59497
85.0%
1 952
 
1.4%
2 529
 
0.8%
3 357
 
0.5%
4 219
 
0.3%
5 143
 
0.2%
255 119
 
0.2%
6 115
 
0.2%
7 97
 
0.1%
8 77
 
0.1%
Other values (246) 7895
 
11.3%
ValueCountFrequency (%)
0 59497
85.0%
1 952
 
1.4%
2 529
 
0.8%
3 357
 
0.5%
4 219
 
0.3%
ValueCountFrequency (%)
255 119
0.2%
254 16
 
< 0.1%
253 13
 
< 0.1%
252 6
 
< 0.1%
251 7
 
< 0.1%

223
Real number (ℝ)

Zeros 

Distinct212
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7328
Minimum0
Maximum254
Zeros65424
Zeros (%)93.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:46.750333image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum254
Range254
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.62787194
Coefficient of variation (CV)6.084555015
Kurtosis64.1958623
Mean2.7328
Median Absolute Deviation (MAD)0
Skewness7.601856258
Sum191296
Variance276.4861254
MonotonicityNot monotonic
2025-03-23T12:49:46.906566image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65424
93.5%
1 904
 
1.3%
2 449
 
0.6%
3 269
 
0.4%
4 153
 
0.2%
5 92
 
0.1%
6 62
 
0.1%
11 42
 
0.1%
14 37
 
0.1%
7 36
 
0.1%
Other values (202) 2532
 
3.6%
ValueCountFrequency (%)
0 65424
93.5%
1 904
 
1.3%
2 449
 
0.6%
3 269
 
0.4%
4 153
 
0.2%
ValueCountFrequency (%)
254 1
 
< 0.1%
239 2
< 0.1%
237 1
 
< 0.1%
228 3
< 0.1%
227 1
 
< 0.1%

224
Real number (ℝ)

Zeros 

Distinct198
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9982428571
Minimum0
Maximum237
Zeros68176
Zeros (%)97.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:47.047139image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum237
Range237
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.37874098
Coefficient of variation (CV)10.39701001
Kurtosis189.0457516
Mean0.9982428571
Median Absolute Deviation (MAD)0
Skewness13.0260642
Sum69877
Variance107.7182643
MonotonicityNot monotonic
2025-03-23T12:49:47.250181image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68176
97.4%
1 359
 
0.5%
2 213
 
0.3%
3 107
 
0.2%
4 104
 
0.1%
5 69
 
0.1%
6 44
 
0.1%
7 24
 
< 0.1%
9 23
 
< 0.1%
8 22
 
< 0.1%
Other values (188) 859
 
1.2%
ValueCountFrequency (%)
0 68176
97.4%
1 359
 
0.5%
2 213
 
0.3%
3 107
 
0.2%
4 104
 
0.1%
ValueCountFrequency (%)
237 1
< 0.1%
236 1
< 0.1%
230 1
< 0.1%
223 2
< 0.1%
218 2
< 0.1%

225
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.598614286
Minimum0
Maximum255
Zeros67023
Zeros (%)95.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:47.406431image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation23.9768067
Coefficient of variation (CV)6.662788727
Kurtosis58.49255654
Mean3.598614286
Median Absolute Deviation (MAD)0
Skewness7.498626879
Sum251903
Variance574.8872593
MonotonicityNot monotonic
2025-03-23T12:49:47.562659image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67023
95.7%
1 361
 
0.5%
2 218
 
0.3%
3 118
 
0.2%
4 90
 
0.1%
5 60
 
0.1%
6 41
 
0.1%
7 33
 
< 0.1%
255 33
 
< 0.1%
9 30
 
< 0.1%
Other values (245) 1993
 
2.8%
ValueCountFrequency (%)
0 67023
95.7%
1 361
 
0.5%
2 218
 
0.3%
3 118
 
0.2%
4 90
 
0.1%
ValueCountFrequency (%)
255 33
< 0.1%
254 5
 
< 0.1%
253 2
 
< 0.1%
252 7
 
< 0.1%
251 5
 
< 0.1%

226
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.946314286
Minimum0
Maximum255
Zeros64852
Zeros (%)92.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:47.718856image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile28
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation32.82739794
Coefficient of variation (CV)4.725872828
Kurtosis27.37593835
Mean6.946314286
Median Absolute Deviation (MAD)0
Skewness5.213435668
Sum486242
Variance1077.638056
MonotonicityNot monotonic
2025-03-23T12:49:47.875031image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64852
92.6%
1 463
 
0.7%
2 257
 
0.4%
3 158
 
0.2%
4 117
 
0.2%
5 73
 
0.1%
6 60
 
0.1%
7 35
 
0.1%
9 33
 
< 0.1%
255 32
 
< 0.1%
Other values (246) 3920
 
5.6%
ValueCountFrequency (%)
0 64852
92.6%
1 463
 
0.7%
2 257
 
0.4%
3 158
 
0.2%
4 117
 
0.2%
ValueCountFrequency (%)
255 32
< 0.1%
254 5
 
< 0.1%
253 4
 
< 0.1%
252 6
 
< 0.1%
251 5
 
< 0.1%

227
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.88658571
Minimum0
Maximum255
Zeros60342
Zeros (%)86.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:48.015661image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile146
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation47.19639818
Coefficient of variation (CV)3.170397772
Kurtosis10.37814065
Mean14.88658571
Median Absolute Deviation (MAD)0
Skewness3.357345354
Sum1042061
Variance2227.500001
MonotonicityNot monotonic
2025-03-23T12:49:48.187493image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60342
86.2%
1 478
 
0.7%
2 277
 
0.4%
3 203
 
0.3%
4 122
 
0.2%
5 97
 
0.1%
6 72
 
0.1%
255 69
 
0.1%
7 62
 
0.1%
11 55
 
0.1%
Other values (246) 8223
 
11.7%
ValueCountFrequency (%)
0 60342
86.2%
1 478
 
0.7%
2 277
 
0.4%
3 203
 
0.3%
4 122
 
0.2%
ValueCountFrequency (%)
255 69
0.1%
254 14
 
< 0.1%
253 11
 
< 0.1%
252 5
 
< 0.1%
251 9
 
< 0.1%

228
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.34422857
Minimum0
Maximum255
Zeros52064
Zeros (%)74.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:48.343727image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile204
Maximum255
Range255
Interquartile range (IQR)1

Descriptive statistics

Standard deviation66.29549247
Coefficient of variation (CV)2.115078134
Kurtosis2.579874323
Mean31.34422857
Median Absolute Deviation (MAD)0
Skewness2.000442941
Sum2194096
Variance4395.092322
MonotonicityNot monotonic
2025-03-23T12:49:48.484300image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 52064
74.4%
1 546
 
0.8%
2 370
 
0.5%
3 245
 
0.4%
255 196
 
0.3%
4 154
 
0.2%
5 131
 
0.2%
6 127
 
0.2%
221 109
 
0.2%
216 109
 
0.2%
Other values (246) 15949
 
22.8%
ValueCountFrequency (%)
0 52064
74.4%
1 546
 
0.8%
2 370
 
0.5%
3 245
 
0.4%
4 154
 
0.2%
ValueCountFrequency (%)
255 196
0.3%
254 42
 
0.1%
253 32
 
< 0.1%
252 31
 
< 0.1%
251 22
 
< 0.1%

229
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.64071429
Minimum0
Maximum255
Zeros42791
Zeros (%)61.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:48.640518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3114
95-th percentile224
Maximum255
Range255
Interquartile range (IQR)114

Descriptive statistics

Standard deviation82.43653453
Coefficient of variation (CV)1.508701627
Kurtosis-0.34230126
Mean54.64071429
Median Absolute Deviation (MAD)0
Skewness1.130329403
Sum3824850
Variance6795.782225
MonotonicityNot monotonic
2025-03-23T12:49:48.781069image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42791
61.1%
1 483
 
0.7%
255 337
 
0.5%
2 294
 
0.4%
3 199
 
0.3%
224 192
 
0.3%
220 186
 
0.3%
211 185
 
0.3%
219 179
 
0.3%
223 178
 
0.3%
Other values (246) 24976
35.7%
ValueCountFrequency (%)
0 42791
61.1%
1 483
 
0.7%
2 294
 
0.4%
3 199
 
0.3%
4 148
 
0.2%
ValueCountFrequency (%)
255 337
0.5%
254 60
 
0.1%
253 58
 
0.1%
252 42
 
0.1%
251 53
 
0.1%

230
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.36248571
Minimum0
Maximum255
Zeros38076
Zeros (%)54.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:48.937321image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3162
95-th percentile231
Maximum255
Range255
Interquartile range (IQR)162

Descriptive statistics

Standard deviation90.5647068
Coefficient of variation (CV)1.287116364
Kurtosis-1.14542937
Mean70.36248571
Median Absolute Deviation (MAD)0
Skewness0.7484593559
Sum4925374
Variance8201.966118
MonotonicityNot monotonic
2025-03-23T12:49:49.077911image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 38076
54.4%
1 431
 
0.6%
216 279
 
0.4%
2 275
 
0.4%
222 274
 
0.4%
224 272
 
0.4%
223 271
 
0.4%
218 269
 
0.4%
228 266
 
0.4%
255 265
 
0.4%
Other values (246) 29322
41.9%
ValueCountFrequency (%)
0 38076
54.4%
1 431
 
0.6%
2 275
 
0.4%
3 205
 
0.3%
4 140
 
0.2%
ValueCountFrequency (%)
255 265
0.4%
254 80
 
0.1%
253 59
 
0.1%
252 66
 
0.1%
251 70
 
0.1%

231
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.79148571
Minimum0
Maximum255
Zeros34185
Zeros (%)48.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:49.218502image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q3183
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)183

Descriptive statistics

Standard deviation94.33692763
Coefficient of variation (CV)1.153383226
Kurtosis-1.465493515
Mean81.79148571
Median Absolute Deviation (MAD)2
Skewness0.5112281872
Sum5725404
Variance8899.455914
MonotonicityNot monotonic
2025-03-23T12:49:49.374677image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34185
48.8%
1 542
 
0.8%
2 388
 
0.6%
255 380
 
0.5%
222 357
 
0.5%
224 345
 
0.5%
215 343
 
0.5%
230 339
 
0.5%
219 334
 
0.5%
221 323
 
0.5%
Other values (246) 32464
46.4%
ValueCountFrequency (%)
0 34185
48.8%
1 542
 
0.8%
2 388
 
0.6%
3 242
 
0.3%
4 182
 
0.3%
ValueCountFrequency (%)
255 380
0.5%
254 87
 
0.1%
253 84
 
0.1%
252 76
 
0.1%
251 76
 
0.1%

232
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.47378571
Minimum0
Maximum255
Zeros29263
Zeros (%)41.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:49.530927image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median53
Q3184
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)184

Descriptive statistics

Standard deviation93.07303357
Coefficient of variation (CV)1.064010581
Kurtosis-1.522103325
Mean87.47378571
Median Absolute Deviation (MAD)53
Skewness0.3958600158
Sum6123165
Variance8662.589578
MonotonicityNot monotonic
2025-03-23T12:49:50.030808image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29263
41.8%
1 1394
 
2.0%
2 558
 
0.8%
255 522
 
0.7%
3 381
 
0.5%
223 352
 
0.5%
217 350
 
0.5%
218 339
 
0.5%
225 330
 
0.5%
220 326
 
0.5%
Other values (246) 36185
51.7%
ValueCountFrequency (%)
0 29263
41.8%
1 1394
 
2.0%
2 558
 
0.8%
3 381
 
0.5%
4 207
 
0.3%
ValueCountFrequency (%)
255 522
0.7%
254 104
 
0.1%
253 95
 
0.1%
252 73
 
0.1%
251 66
 
0.1%

233
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.78867143
Minimum0
Maximum255
Zeros22188
Zeros (%)31.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:50.187030image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median92
Q3185
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)185

Descriptive statistics

Standard deviation90.36690078
Coefficient of variation (CV)0.9336516294
Kurtosis-1.561649195
Mean96.78867143
Median Absolute Deviation (MAD)92
Skewness0.203317633
Sum6775207
Variance8166.176757
MonotonicityNot monotonic
2025-03-23T12:49:50.327579image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22188
31.7%
1 2214
 
3.2%
2 882
 
1.3%
255 637
 
0.9%
3 434
 
0.6%
222 365
 
0.5%
220 354
 
0.5%
221 351
 
0.5%
217 349
 
0.5%
219 344
 
0.5%
Other values (246) 41882
59.8%
ValueCountFrequency (%)
0 22188
31.7%
1 2214
 
3.2%
2 882
 
1.3%
3 434
 
0.6%
4 276
 
0.4%
ValueCountFrequency (%)
255 637
0.9%
254 108
 
0.2%
253 98
 
0.1%
252 50
 
0.1%
251 60
 
0.1%

234
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.3053714
Minimum0
Maximum255
Zeros20071
Zeros (%)28.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:50.483790image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median111
Q3193
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)193

Descriptive statistics

Standard deviation90.8039442
Coefficient of variation (CV)0.8622916663
Kurtosis-1.587376265
Mean105.3053714
Median Absolute Deviation (MAD)101
Skewness0.05955574749
Sum7371376
Variance8245.356282
MonotonicityNot monotonic
2025-03-23T12:49:50.624383image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20071
28.7%
1 1588
 
2.3%
255 862
 
1.2%
2 720
 
1.0%
216 407
 
0.6%
225 401
 
0.6%
222 400
 
0.6%
217 396
 
0.6%
219 384
 
0.5%
221 382
 
0.5%
Other values (246) 44389
63.4%
ValueCountFrequency (%)
0 20071
28.7%
1 1588
 
2.3%
2 720
 
1.0%
3 378
 
0.5%
4 283
 
0.4%
ValueCountFrequency (%)
255 862
1.2%
254 146
 
0.2%
253 97
 
0.1%
252 86
 
0.1%
251 65
 
0.1%

235
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.8121571
Minimum0
Maximum255
Zeros18157
Zeros (%)25.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:50.765012image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median117
Q3194
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)194

Descriptive statistics

Standard deviation89.47285434
Coefficient of variation (CV)0.8298957809
Kurtosis-1.583320978
Mean107.8121571
Median Absolute Deviation (MAD)93
Skewness-0.005225819332
Sum7546851
Variance8005.391664
MonotonicityNot monotonic
2025-03-23T12:49:50.921229image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18157
 
25.9%
1 1664
 
2.4%
2 932
 
1.3%
3 576
 
0.8%
255 502
 
0.7%
221 429
 
0.6%
225 429
 
0.6%
218 418
 
0.6%
223 415
 
0.6%
219 414
 
0.6%
Other values (246) 46064
65.8%
ValueCountFrequency (%)
0 18157
25.9%
1 1664
 
2.4%
2 932
 
1.3%
3 576
 
0.8%
4 360
 
0.5%
ValueCountFrequency (%)
255 502
0.7%
254 87
 
0.1%
253 73
 
0.1%
252 49
 
0.1%
251 53
 
0.1%

236
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.9406143
Minimum0
Maximum255
Zeros17598
Zeros (%)25.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:51.061820image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median120
Q3197
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)197

Descriptive statistics

Standard deviation89.90274719
Coefficient of variation (CV)0.8177391747
Kurtosis-1.589295368
Mean109.9406143
Median Absolute Deviation (MAD)92
Skewness-0.03319956202
Sum7695843
Variance8082.503952
MonotonicityNot monotonic
2025-03-23T12:49:51.202415image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17598
 
25.1%
1 1626
 
2.3%
2 838
 
1.2%
3 546
 
0.8%
225 457
 
0.7%
220 452
 
0.6%
255 452
 
0.6%
219 448
 
0.6%
221 446
 
0.6%
224 438
 
0.6%
Other values (246) 46699
66.7%
ValueCountFrequency (%)
0 17598
25.1%
1 1626
 
2.3%
2 838
 
1.2%
3 546
 
0.8%
4 325
 
0.5%
ValueCountFrequency (%)
255 452
0.6%
254 100
 
0.1%
253 75
 
0.1%
252 64
 
0.1%
251 63
 
0.1%

237
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.8923143
Minimum0
Maximum255
Zeros14906
Zeros (%)21.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:51.343001image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median126
Q3198
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)195

Descriptive statistics

Standard deviation88.7609284
Coefficient of variation (CV)0.7793408094
Kurtosis-1.544925154
Mean113.8923143
Median Absolute Deviation (MAD)85
Skewness-0.09062015047
Sum7972462
Variance7878.502411
MonotonicityNot monotonic
2025-03-23T12:49:51.499213image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14906
 
21.3%
1 1296
 
1.9%
2 982
 
1.4%
3 704
 
1.0%
255 553
 
0.8%
4 492
 
0.7%
222 453
 
0.6%
225 444
 
0.6%
221 442
 
0.6%
229 442
 
0.6%
Other values (246) 49286
70.4%
ValueCountFrequency (%)
0 14906
21.3%
1 1296
 
1.9%
2 982
 
1.4%
3 704
 
1.0%
4 492
 
0.7%
ValueCountFrequency (%)
255 553
0.8%
254 121
 
0.2%
253 76
 
0.1%
252 78
 
0.1%
251 63
 
0.1%

238
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.5532857
Minimum0
Maximum255
Zeros14104
Zeros (%)20.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:51.655389image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114
median130
Q3197
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)183

Descriptive statistics

Standard deviation86.18054788
Coefficient of variation (CV)0.7394089952
Kurtosis-1.4798551
Mean116.5532857
Median Absolute Deviation (MAD)78
Skewness-0.1449995551
Sum8158730
Variance7427.086833
MonotonicityNot monotonic
2025-03-23T12:49:51.796018image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14104
 
20.1%
1 810
 
1.2%
2 621
 
0.9%
228 449
 
0.6%
221 446
 
0.6%
3 442
 
0.6%
226 440
 
0.6%
220 436
 
0.6%
219 414
 
0.6%
216 413
 
0.6%
Other values (246) 51425
73.5%
ValueCountFrequency (%)
0 14104
20.1%
1 810
 
1.2%
2 621
 
0.9%
3 442
 
0.6%
4 330
 
0.5%
ValueCountFrequency (%)
255 383
0.5%
254 74
 
0.1%
253 60
 
0.1%
252 40
 
0.1%
251 54
 
0.1%

239
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.5888143
Minimum0
Maximum255
Zeros11521
Zeros (%)16.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:51.952235image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q148
median150
Q3206
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)158

Descriptive statistics

Standard deviation85.50444039
Coefficient of variation (CV)0.6598134327
Kurtosis-1.336800744
Mean129.5888143
Median Absolute Deviation (MAD)67
Skewness-0.3299001639
Sum9071217
Variance7311.009326
MonotonicityNot monotonic
2025-03-23T12:49:52.092824image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11521
 
16.5%
255 1029
 
1.5%
220 500
 
0.7%
226 494
 
0.7%
224 491
 
0.7%
213 487
 
0.7%
223 486
 
0.7%
228 485
 
0.7%
221 478
 
0.7%
222 474
 
0.7%
Other values (246) 53555
76.5%
ValueCountFrequency (%)
0 11521
16.5%
1 472
 
0.7%
2 342
 
0.5%
3 254
 
0.4%
4 181
 
0.3%
ValueCountFrequency (%)
255 1029
1.5%
254 145
 
0.2%
253 160
 
0.2%
252 129
 
0.2%
251 134
 
0.2%

240
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean133.9884857
Minimum0
Maximum255
Zeros9208
Zeros (%)13.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:52.249037image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q165
median154
Q3205
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)140

Descriptive statistics

Standard deviation81.09775596
Coefficient of variation (CV)0.6052591425
Kurtosis-1.172431127
Mean133.9884857
Median Absolute Deviation (MAD)60
Skewness-0.4323614654
Sum9379194
Variance6576.846022
MonotonicityNot monotonic
2025-03-23T12:49:52.389632image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9208
 
13.2%
255 712
 
1.0%
228 514
 
0.7%
218 510
 
0.7%
214 508
 
0.7%
224 495
 
0.7%
213 493
 
0.7%
225 492
 
0.7%
222 488
 
0.7%
221 484
 
0.7%
Other values (246) 56096
80.1%
ValueCountFrequency (%)
0 9208
13.2%
1 363
 
0.5%
2 264
 
0.4%
3 191
 
0.3%
4 127
 
0.2%
ValueCountFrequency (%)
255 712
1.0%
254 101
 
0.1%
253 82
 
0.1%
252 69
 
0.1%
251 72
 
0.1%

241
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean134.0437857
Minimum0
Maximum255
Zeros8878
Zeros (%)12.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:52.545842image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q167
median154
Q3204
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)137

Descriptive statistics

Standard deviation80.24319818
Coefficient of variation (CV)0.598634228
Kurtosis-1.145765192
Mean134.0437857
Median Absolute Deviation (MAD)59
Skewness-0.4379071149
Sum9383065
Variance6438.970854
MonotonicityNot monotonic
2025-03-23T12:49:52.702058image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8878
 
12.7%
255 693
 
1.0%
221 515
 
0.7%
215 514
 
0.7%
218 509
 
0.7%
223 505
 
0.7%
219 504
 
0.7%
222 503
 
0.7%
211 493
 
0.7%
213 489
 
0.7%
Other values (246) 56397
80.6%
ValueCountFrequency (%)
0 8878
12.7%
1 369
 
0.5%
2 273
 
0.4%
3 168
 
0.2%
4 115
 
0.2%
ValueCountFrequency (%)
255 693
1.0%
254 101
 
0.1%
253 94
 
0.1%
252 87
 
0.1%
251 83
 
0.1%

242
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.3114429
Minimum0
Maximum255
Zeros11553
Zeros (%)16.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:52.842647image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q149
median146
Q3202
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)153

Descriptive statistics

Standard deviation83.87504807
Coefficient of variation (CV)0.6588178265
Kurtosis-1.321091841
Mean127.3114429
Median Absolute Deviation (MAD)67
Skewness-0.3107448971
Sum8911801
Variance7035.023689
MonotonicityNot monotonic
2025-03-23T12:49:52.998859image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11553
 
16.5%
255 771
 
1.1%
213 499
 
0.7%
220 465
 
0.7%
219 464
 
0.7%
221 457
 
0.7%
210 455
 
0.7%
218 450
 
0.6%
217 448
 
0.6%
212 447
 
0.6%
Other values (246) 53991
77.1%
ValueCountFrequency (%)
0 11553
16.5%
1 423
 
0.6%
2 283
 
0.4%
3 186
 
0.3%
4 157
 
0.2%
ValueCountFrequency (%)
255 771
1.1%
254 144
 
0.2%
253 105
 
0.1%
252 104
 
0.1%
251 94
 
0.1%

243
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.2674429
Minimum0
Maximum255
Zeros15037
Zeros (%)21.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:53.139484image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115
median135
Q3200
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)185

Descriptive statistics

Standard deviation87.37659174
Coefficient of variation (CV)0.7326105905
Kurtosis-1.476676617
Mean119.2674429
Median Absolute Deviation (MAD)77
Skewness-0.1811952421
Sum8348721
Variance7634.668784
MonotonicityNot monotonic
2025-03-23T12:49:53.295664image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15037
 
21.5%
1 683
 
1.0%
255 610
 
0.9%
217 477
 
0.7%
216 450
 
0.6%
213 448
 
0.6%
223 445
 
0.6%
218 441
 
0.6%
219 440
 
0.6%
224 438
 
0.6%
Other values (246) 50531
72.2%
ValueCountFrequency (%)
0 15037
21.5%
1 683
 
1.0%
2 425
 
0.6%
3 256
 
0.4%
4 177
 
0.3%
ValueCountFrequency (%)
255 610
0.9%
254 127
 
0.2%
253 98
 
0.1%
252 74
 
0.1%
251 81
 
0.1%

244
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.1169
Minimum0
Maximum255
Zeros20259
Zeros (%)28.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:53.451883image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median122
Q3201
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)201

Descriptive statistics

Standard deviation93.15758805
Coefficient of variation (CV)0.8459881094
Kurtosis-1.641074297
Mean110.1169
Median Absolute Deviation (MAD)97
Skewness-0.01675472117
Sum7708183
Variance8678.336211
MonotonicityNot monotonic
2025-03-23T12:49:53.592470image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20259
28.9%
1 1182
 
1.7%
2 714
 
1.0%
255 604
 
0.9%
3 454
 
0.6%
221 444
 
0.6%
215 437
 
0.6%
209 435
 
0.6%
224 434
 
0.6%
219 434
 
0.6%
Other values (246) 44603
63.7%
ValueCountFrequency (%)
0 20259
28.9%
1 1182
 
1.7%
2 714
 
1.0%
3 454
 
0.6%
4 245
 
0.4%
ValueCountFrequency (%)
255 604
0.9%
254 148
 
0.2%
253 107
 
0.2%
252 85
 
0.1%
251 103
 
0.1%

245
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.1934571
Minimum0
Maximum255
Zeros24211
Zeros (%)34.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:53.733066image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median98
Q3197
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)197

Descriptive statistics

Standard deviation94.28934531
Coefficient of variation (CV)0.93177314
Kurtosis-1.656122852
Mean101.1934571
Median Absolute Deviation (MAD)98
Skewness0.1448505465
Sum7083542
Variance8890.480638
MonotonicityNot monotonic
2025-03-23T12:49:53.889275image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24211
34.6%
1 1078
 
1.5%
2 611
 
0.9%
255 514
 
0.7%
218 418
 
0.6%
223 413
 
0.6%
222 412
 
0.6%
224 404
 
0.6%
221 404
 
0.6%
217 404
 
0.6%
Other values (246) 41131
58.8%
ValueCountFrequency (%)
0 24211
34.6%
1 1078
 
1.5%
2 611
 
0.9%
3 383
 
0.5%
4 245
 
0.4%
ValueCountFrequency (%)
255 514
0.7%
254 97
 
0.1%
253 81
 
0.1%
252 75
 
0.1%
251 83
 
0.1%

246
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.68895714
Minimum0
Maximum255
Zeros27918
Zeros (%)39.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:54.029868image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median54
Q3183
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)183

Descriptive statistics

Standard deviation92.39198597
Coefficient of variation (CV)1.05363308
Kurtosis-1.50577675
Mean87.68895714
Median Absolute Deviation (MAD)54
Skewness0.400199469
Sum6138227
Variance8536.279071
MonotonicityNot monotonic
2025-03-23T12:49:54.186042image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27918
39.9%
1 1075
 
1.5%
2 663
 
0.9%
255 500
 
0.7%
3 438
 
0.6%
218 349
 
0.5%
221 336
 
0.5%
219 331
 
0.5%
225 328
 
0.5%
213 322
 
0.5%
Other values (246) 37740
53.9%
ValueCountFrequency (%)
0 27918
39.9%
1 1075
 
1.5%
2 663
 
0.9%
3 438
 
0.6%
4 275
 
0.4%
ValueCountFrequency (%)
255 500
0.7%
254 112
 
0.2%
253 74
 
0.1%
252 71
 
0.1%
251 70
 
0.1%

247
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.64962857
Minimum0
Maximum255
Zeros35490
Zeros (%)50.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:54.326673image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3147
95-th percentile227
Maximum255
Range255
Interquartile range (IQR)147

Descriptive statistics

Standard deviation86.55026234
Coefficient of variation (CV)1.298585816
Kurtosis-0.9594223733
Mean66.64962857
Median Absolute Deviation (MAD)0
Skewness0.8274227997
Sum4665474
Variance7490.947911
MonotonicityNot monotonic
2025-03-23T12:49:54.482891image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35490
50.7%
1 911
 
1.3%
2 578
 
0.8%
3 392
 
0.6%
255 356
 
0.5%
4 280
 
0.4%
222 245
 
0.4%
216 238
 
0.3%
205 238
 
0.3%
218 238
 
0.3%
Other values (246) 31034
44.3%
ValueCountFrequency (%)
0 35490
50.7%
1 911
 
1.3%
2 578
 
0.8%
3 392
 
0.6%
4 280
 
0.4%
ValueCountFrequency (%)
255 356
0.5%
254 56
 
0.1%
253 62
 
0.1%
252 58
 
0.1%
251 52
 
0.1%

248
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.81254286
Minimum0
Maximum255
Zeros44678
Zeros (%)63.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:54.639102image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q376
95-th percentile218
Maximum255
Range255
Interquartile range (IQR)76

Descriptive statistics

Standard deviation78.55571573
Coefficient of variation (CV)1.67809119
Kurtosis0.2370544835
Mean46.81254286
Median Absolute Deviation (MAD)0
Skewness1.365622844
Sum3276878
Variance6171.000474
MonotonicityNot monotonic
2025-03-23T12:49:54.779690image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 44678
63.8%
1 908
 
1.3%
2 600
 
0.9%
3 405
 
0.6%
4 265
 
0.4%
255 235
 
0.3%
5 213
 
0.3%
211 191
 
0.3%
209 188
 
0.3%
208 185
 
0.3%
Other values (246) 22132
31.6%
ValueCountFrequency (%)
0 44678
63.8%
1 908
 
1.3%
2 600
 
0.9%
3 405
 
0.6%
4 265
 
0.4%
ValueCountFrequency (%)
255 235
0.3%
254 44
 
0.1%
253 37
 
0.1%
252 46
 
0.1%
251 32
 
< 0.1%

249
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.16435714
Minimum0
Maximum255
Zeros50580
Zeros (%)72.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:54.920245image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile210
Maximum255
Range255
Interquartile range (IQR)4

Descriptive statistics

Standard deviation69.82791214
Coefficient of variation (CV)2.043881928
Kurtosis1.938084079
Mean34.16435714
Median Absolute Deviation (MAD)0
Skewness1.862547407
Sum2391505
Variance4875.937314
MonotonicityNot monotonic
2025-03-23T12:49:55.060880image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 50580
72.3%
1 860
 
1.2%
2 549
 
0.8%
3 399
 
0.6%
4 298
 
0.4%
255 237
 
0.3%
5 222
 
0.3%
6 160
 
0.2%
211 127
 
0.2%
215 127
 
0.2%
Other values (246) 16441
 
23.5%
ValueCountFrequency (%)
0 50580
72.3%
1 860
 
1.2%
2 549
 
0.8%
3 399
 
0.6%
4 298
 
0.4%
ValueCountFrequency (%)
255 237
0.3%
254 44
 
0.1%
253 42
 
0.1%
252 33
 
< 0.1%
251 30
 
< 0.1%

250
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.47742857
Minimum0
Maximum255
Zeros56834
Zeros (%)81.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:55.217092image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile157
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation50.33152542
Coefficient of variation (CV)2.879801523
Kurtosis8.661532137
Mean17.47742857
Median Absolute Deviation (MAD)0
Skewness3.087195945
Sum1223420
Variance2533.262451
MonotonicityNot monotonic
2025-03-23T12:49:55.732594image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56834
81.2%
1 1073
 
1.5%
2 596
 
0.9%
3 433
 
0.6%
4 279
 
0.4%
255 218
 
0.3%
5 190
 
0.3%
6 146
 
0.2%
7 129
 
0.2%
8 114
 
0.2%
Other values (246) 9988
 
14.3%
ValueCountFrequency (%)
0 56834
81.2%
1 1073
 
1.5%
2 596
 
0.9%
3 433
 
0.6%
4 279
 
0.4%
ValueCountFrequency (%)
255 218
0.3%
254 25
 
< 0.1%
253 24
 
< 0.1%
252 17
 
< 0.1%
251 11
 
< 0.1%

251
Real number (ℝ)

Zeros 

Distinct227
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.550242857
Minimum0
Maximum255
Zeros64412
Zeros (%)92.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:55.873144image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation19.0487623
Coefficient of variation (CV)5.365481479
Kurtosis49.18216813
Mean3.550242857
Median Absolute Deviation (MAD)0
Skewness6.661797852
Sum248517
Variance362.855345
MonotonicityNot monotonic
2025-03-23T12:49:56.013778image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64412
92.0%
1 1072
 
1.5%
2 505
 
0.7%
3 265
 
0.4%
4 156
 
0.2%
5 97
 
0.1%
6 81
 
0.1%
7 50
 
0.1%
12 50
 
0.1%
9 50
 
0.1%
Other values (217) 3262
 
4.7%
ValueCountFrequency (%)
0 64412
92.0%
1 1072
 
1.5%
2 505
 
0.7%
3 265
 
0.4%
4 156
 
0.2%
ValueCountFrequency (%)
255 3
< 0.1%
246 2
< 0.1%
241 1
 
< 0.1%
239 1
 
< 0.1%
238 1
 
< 0.1%

252
Real number (ℝ)

Zeros 

Distinct208
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.234914286
Minimum0
Maximum249
Zeros68071
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:56.154383image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum249
Range249
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.5947941
Coefficient of variation (CV)9.389148891
Kurtosis147.4035038
Mean1.234914286
Median Absolute Deviation (MAD)0
Skewness11.50710929
Sum86444
Variance134.4392501
MonotonicityNot monotonic
2025-03-23T12:49:56.310582image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68071
97.2%
1 326
 
0.5%
2 194
 
0.3%
3 127
 
0.2%
4 91
 
0.1%
5 56
 
0.1%
6 38
 
0.1%
7 31
 
< 0.1%
8 23
 
< 0.1%
10 16
 
< 0.1%
Other values (198) 1027
 
1.5%
ValueCountFrequency (%)
0 68071
97.2%
1 326
 
0.5%
2 194
 
0.3%
3 127
 
0.2%
4 91
 
0.1%
ValueCountFrequency (%)
249 1
< 0.1%
234 1
< 0.1%
232 1
< 0.1%
227 1
< 0.1%
225 1
< 0.1%

253
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.526371429
Minimum0
Maximum255
Zeros66693
Zeros (%)95.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:56.451173image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27.150033
Coefficient of variation (CV)5.998189373
Kurtosis46.35018688
Mean4.526371429
Median Absolute Deviation (MAD)0
Skewness6.699097611
Sum316846
Variance737.124292
MonotonicityNot monotonic
2025-03-23T12:49:56.607387image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66693
95.3%
1 279
 
0.4%
2 204
 
0.3%
3 110
 
0.2%
4 75
 
0.1%
255 62
 
0.1%
6 54
 
0.1%
5 51
 
0.1%
7 37
 
0.1%
8 29
 
< 0.1%
Other values (245) 2406
 
3.4%
ValueCountFrequency (%)
0 66693
95.3%
1 279
 
0.4%
2 204
 
0.3%
3 110
 
0.2%
4 75
 
0.1%
ValueCountFrequency (%)
255 62
0.1%
254 5
 
< 0.1%
253 8
 
< 0.1%
252 4
 
< 0.1%
251 2
 
< 0.1%

254
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.161
Minimum0
Maximum255
Zeros64255
Zeros (%)91.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:56.747975image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile57
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation35.60950466
Coefficient of variation (CV)4.363375158
Kurtosis22.79829065
Mean8.161
Median Absolute Deviation (MAD)0
Skewness4.785974677
Sum571270
Variance1268.036822
MonotonicityNot monotonic
2025-03-23T12:49:56.904188image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64255
91.8%
1 402
 
0.6%
2 237
 
0.3%
3 157
 
0.2%
4 127
 
0.2%
5 89
 
0.1%
6 61
 
0.1%
7 55
 
0.1%
255 38
 
0.1%
26 37
 
0.1%
Other values (246) 4542
 
6.5%
ValueCountFrequency (%)
0 64255
91.8%
1 402
 
0.6%
2 237
 
0.3%
3 157
 
0.2%
4 127
 
0.2%
ValueCountFrequency (%)
255 38
0.1%
254 5
 
< 0.1%
253 3
 
< 0.1%
252 7
 
< 0.1%
251 7
 
< 0.1%

255
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.80445714
Minimum0
Maximum255
Zeros59564
Zeros (%)85.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:57.060405image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile160
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation50.05623281
Coefficient of variation (CV)2.978747387
Kurtosis8.639127901
Mean16.80445714
Median Absolute Deviation (MAD)0
Skewness3.108745263
Sum1176312
Variance2505.626443
MonotonicityNot monotonic
2025-03-23T12:49:57.200955image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59564
85.1%
1 402
 
0.6%
2 249
 
0.4%
3 167
 
0.2%
4 113
 
0.2%
5 99
 
0.1%
6 84
 
0.1%
255 79
 
0.1%
208 61
 
0.1%
7 59
 
0.1%
Other values (246) 9123
 
13.0%
ValueCountFrequency (%)
0 59564
85.1%
1 402
 
0.6%
2 249
 
0.4%
3 167
 
0.2%
4 113
 
0.2%
ValueCountFrequency (%)
255 79
0.1%
254 15
 
< 0.1%
253 19
 
< 0.1%
252 7
 
< 0.1%
251 8
 
< 0.1%

256
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.08002857
Minimum0
Maximum255
Zeros50870
Zeros (%)72.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:57.341585image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38
95-th percentile208
Maximum255
Range255
Interquartile range (IQR)8

Descriptive statistics

Standard deviation68.8688958
Coefficient of variation (CV)2.020799239
Kurtosis2.031789948
Mean34.08002857
Median Absolute Deviation (MAD)0
Skewness1.870536783
Sum2385602
Variance4742.924809
MonotonicityNot monotonic
2025-03-23T12:49:57.497762image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 50870
72.7%
1 521
 
0.7%
2 358
 
0.5%
3 224
 
0.3%
255 218
 
0.3%
4 167
 
0.2%
5 138
 
0.2%
6 115
 
0.2%
200 112
 
0.2%
195 108
 
0.2%
Other values (246) 17169
 
24.5%
ValueCountFrequency (%)
0 50870
72.7%
1 521
 
0.7%
2 358
 
0.5%
3 224
 
0.3%
4 167
 
0.2%
ValueCountFrequency (%)
255 218
0.3%
254 53
 
0.1%
253 37
 
0.1%
252 28
 
< 0.1%
251 35
 
0.1%

257
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.77067143
Minimum0
Maximum255
Zeros41907
Zeros (%)59.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:57.638395image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3126
95-th percentile227
Maximum255
Range255
Interquartile range (IQR)126

Descriptive statistics

Standard deviation84.64077113
Coefficient of variation (CV)1.465116625
Kurtosis-0.5233243078
Mean57.77067143
Median Absolute Deviation (MAD)0
Skewness1.056673872
Sum4043947
Variance7164.060138
MonotonicityNot monotonic
2025-03-23T12:49:57.796009image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 41907
59.9%
1 455
 
0.7%
255 448
 
0.6%
2 318
 
0.5%
214 207
 
0.3%
213 201
 
0.3%
219 201
 
0.3%
3 195
 
0.3%
212 188
 
0.3%
218 187
 
0.3%
Other values (246) 25693
36.7%
ValueCountFrequency (%)
0 41907
59.9%
1 455
 
0.7%
2 318
 
0.5%
3 195
 
0.3%
4 148
 
0.2%
ValueCountFrequency (%)
255 448
0.6%
254 105
 
0.1%
253 79
 
0.1%
252 53
 
0.1%
251 54
 
0.1%

258
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.43298571
Minimum0
Maximum255
Zeros37430
Zeros (%)53.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:57.938802image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3168
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)168

Descriptive statistics

Standard deviation91.79616816
Coefficient of variation (CV)1.267325477
Kurtosis-1.211802597
Mean72.43298571
Median Absolute Deviation (MAD)0
Skewness0.7098679461
Sum5070309
Variance8426.536488
MonotonicityNot monotonic
2025-03-23T12:49:58.095024image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37430
53.5%
1 493
 
0.7%
255 432
 
0.6%
2 314
 
0.4%
220 287
 
0.4%
218 285
 
0.4%
217 283
 
0.4%
219 280
 
0.4%
213 272
 
0.4%
214 270
 
0.4%
Other values (246) 29654
42.4%
ValueCountFrequency (%)
0 37430
53.5%
1 493
 
0.7%
2 314
 
0.4%
3 205
 
0.3%
4 157
 
0.2%
ValueCountFrequency (%)
255 432
0.6%
254 95
 
0.1%
253 85
 
0.1%
252 66
 
0.1%
251 72
 
0.1%

259
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.3397
Minimum0
Maximum255
Zeros33544
Zeros (%)47.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:58.235610image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q3188
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)188

Descriptive statistics

Standard deviation95.97840033
Coefficient of variation (CV)1.137997886
Kurtosis-1.508493848
Mean84.3397
Median Absolute Deviation (MAD)4
Skewness0.4777815948
Sum5903779
Variance9211.85333
MonotonicityNot monotonic
2025-03-23T12:49:58.391822image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33544
47.9%
1 667
 
1.0%
255 567
 
0.8%
2 441
 
0.6%
222 356
 
0.5%
220 355
 
0.5%
227 349
 
0.5%
225 345
 
0.5%
219 337
 
0.5%
228 334
 
0.5%
Other values (246) 32705
46.7%
ValueCountFrequency (%)
0 33544
47.9%
1 667
 
1.0%
2 441
 
0.6%
3 327
 
0.5%
4 183
 
0.3%
ValueCountFrequency (%)
255 567
0.8%
254 137
 
0.2%
253 121
 
0.2%
252 105
 
0.1%
251 108
 
0.2%

260
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.93138571
Minimum0
Maximum255
Zeros28862
Zeros (%)41.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:58.532377image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median59
Q3188
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)188

Descriptive statistics

Standard deviation94.4556848
Coefficient of variation (CV)1.050308344
Kurtosis-1.555254161
Mean89.93138571
Median Absolute Deviation (MAD)59
Skewness0.36364065
Sum6295197
Variance8921.87639
MonotonicityNot monotonic
2025-03-23T12:49:58.688627image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28862
41.2%
1 1312
 
1.9%
255 663
 
0.9%
2 657
 
0.9%
3 391
 
0.6%
226 355
 
0.5%
227 353
 
0.5%
223 351
 
0.5%
222 348
 
0.5%
215 337
 
0.5%
Other values (246) 36371
52.0%
ValueCountFrequency (%)
0 28862
41.2%
1 1312
 
1.9%
2 657
 
0.9%
3 391
 
0.6%
4 215
 
0.3%
ValueCountFrequency (%)
255 663
0.9%
254 138
 
0.2%
253 109
 
0.2%
252 91
 
0.1%
251 87
 
0.1%

261
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.47227143
Minimum0
Maximum255
Zeros21618
Zeros (%)30.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:58.829223image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median92
Q3187
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)187

Descriptive statistics

Standard deviation90.78499924
Coefficient of variation (CV)0.9313930814
Kurtosis-1.563606264
Mean97.47227143
Median Absolute Deviation (MAD)92
Skewness0.200462519
Sum6823059
Variance8241.916087
MonotonicityNot monotonic
2025-03-23T12:49:58.985433image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21618
30.9%
1 2318
 
3.3%
2 989
 
1.4%
255 754
 
1.1%
3 527
 
0.8%
215 393
 
0.6%
4 364
 
0.5%
219 357
 
0.5%
213 355
 
0.5%
222 349
 
0.5%
Other values (246) 41976
60.0%
ValueCountFrequency (%)
0 21618
30.9%
1 2318
 
3.3%
2 989
 
1.4%
3 527
 
0.8%
4 364
 
0.5%
ValueCountFrequency (%)
255 754
1.1%
254 128
 
0.2%
253 74
 
0.1%
252 65
 
0.1%
251 76
 
0.1%

262
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.2099286
Minimum0
Maximum255
Zeros18298
Zeros (%)26.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:59.126025image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median115
Q3195
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)195

Descriptive statistics

Standard deviation90.86189457
Coefficient of variation (CV)0.8475138057
Kurtosis-1.584438395
Mean107.2099286
Median Absolute Deviation (MAD)98
Skewness0.03145529689
Sum7504695
Variance8255.883885
MonotonicityNot monotonic
2025-03-23T12:49:59.266621image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18298
26.1%
1 1915
 
2.7%
2 1001
 
1.4%
255 970
 
1.4%
3 674
 
1.0%
215 413
 
0.6%
4 399
 
0.6%
219 395
 
0.6%
224 391
 
0.6%
216 388
 
0.6%
Other values (246) 45156
64.5%
ValueCountFrequency (%)
0 18298
26.1%
1 1915
 
2.7%
2 1001
 
1.4%
3 674
 
1.0%
4 399
 
0.6%
ValueCountFrequency (%)
255 970
1.4%
254 172
 
0.2%
253 110
 
0.2%
252 101
 
0.1%
251 69
 
0.1%

263
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.5425286
Minimum0
Maximum255
Zeros16639
Zeros (%)23.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:59.422828image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median122
Q3196
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)195

Descriptive statistics

Standard deviation89.28489947
Coefficient of variation (CV)0.8076972784
Kurtosis-1.570654813
Mean110.5425286
Median Absolute Deviation (MAD)89
Skewness-0.04853427001
Sum7737977
Variance7971.793274
MonotonicityNot monotonic
2025-03-23T12:49:59.563426image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16639
 
23.8%
1 1650
 
2.4%
2 1122
 
1.6%
3 676
 
1.0%
255 553
 
0.8%
4 473
 
0.7%
218 452
 
0.6%
212 439
 
0.6%
219 436
 
0.6%
217 435
 
0.6%
Other values (246) 47125
67.3%
ValueCountFrequency (%)
0 16639
23.8%
1 1650
 
2.4%
2 1122
 
1.6%
3 676
 
1.0%
4 473
 
0.7%
ValueCountFrequency (%)
255 553
0.8%
254 83
 
0.1%
253 84
 
0.1%
252 58
 
0.1%
251 69
 
0.1%

264
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.8786857
Minimum0
Maximum255
Zeros16337
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:49:59.704011image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median127
Q3199
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)198

Descriptive statistics

Standard deviation89.44223672
Coefficient of variation (CV)0.7854168334
Kurtosis-1.556181672
Mean113.8786857
Median Absolute Deviation (MAD)86
Skewness-0.08854548377
Sum7971508
Variance7999.91371
MonotonicityNot monotonic
2025-03-23T12:49:59.844568image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16337
 
23.3%
1 1306
 
1.9%
2 799
 
1.1%
255 709
 
1.0%
3 480
 
0.7%
223 467
 
0.7%
226 455
 
0.7%
221 452
 
0.6%
213 450
 
0.6%
220 443
 
0.6%
Other values (246) 48102
68.7%
ValueCountFrequency (%)
0 16337
23.3%
1 1306
 
1.9%
2 799
 
1.1%
3 480
 
0.7%
4 336
 
0.5%
ValueCountFrequency (%)
255 709
1.0%
254 114
 
0.2%
253 72
 
0.1%
252 71
 
0.1%
251 73
 
0.1%

265
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.5987
Minimum0
Maximum255
Zeros13336
Zeros (%)19.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:00.000821image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q118
median133
Q3199
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)181

Descriptive statistics

Standard deviation86.80152851
Coefficient of variation (CV)0.7318927485
Kurtosis-1.471334571
Mean118.5987
Median Absolute Deviation (MAD)78
Skewness-0.1604222348
Sum8301909
Variance7534.505351
MonotonicityNot monotonic
2025-03-23T12:50:00.157032image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13336
 
19.1%
1 880
 
1.3%
255 695
 
1.0%
2 679
 
1.0%
3 500
 
0.7%
222 450
 
0.6%
226 444
 
0.6%
225 441
 
0.6%
221 441
 
0.6%
220 438
 
0.6%
Other values (246) 51696
73.9%
ValueCountFrequency (%)
0 13336
19.1%
1 880
 
1.3%
2 679
 
1.0%
3 500
 
0.7%
4 357
 
0.5%
ValueCountFrequency (%)
255 695
1.0%
254 137
 
0.2%
253 88
 
0.1%
252 79
 
0.1%
251 73
 
0.1%

266
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121.238
Minimum0
Maximum255
Zeros11268
Zeros (%)16.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:00.297585image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q139
median135
Q3197
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)158

Descriptive statistics

Standard deviation83.36691301
Coefficient of variation (CV)0.6876302233
Kurtosis-1.390985086
Mean121.238
Median Absolute Deviation (MAD)72
Skewness-0.2098776484
Sum8486660
Variance6950.042185
MonotonicityNot monotonic
2025-03-23T12:50:00.453835image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11268
 
16.1%
1 641
 
0.9%
2 487
 
0.7%
223 459
 
0.7%
221 448
 
0.6%
210 436
 
0.6%
225 434
 
0.6%
219 433
 
0.6%
218 430
 
0.6%
215 429
 
0.6%
Other values (246) 54535
77.9%
ValueCountFrequency (%)
0 11268
16.1%
1 641
 
0.9%
2 487
 
0.7%
3 343
 
0.5%
4 272
 
0.4%
ValueCountFrequency (%)
255 390
0.6%
254 69
 
0.1%
253 54
 
0.1%
252 47
 
0.1%
251 45
 
0.1%

267
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean140.4380857
Minimum0
Maximum255
Zeros7137
Zeros (%)10.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:00.594427image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q177
median160
Q3209
95-th percentile242
Maximum255
Range255
Interquartile range (IQR)132

Descriptive statistics

Standard deviation80.2221969
Coefficient of variation (CV)0.5712282141
Kurtosis-1.06473603
Mean140.4380857
Median Absolute Deviation (MAD)59
Skewness-0.4790028927
Sum9830666
Variance6435.600875
MonotonicityNot monotonic
2025-03-23T12:50:00.750642image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7137
 
10.2%
255 1529
 
2.2%
215 533
 
0.8%
220 521
 
0.7%
221 519
 
0.7%
228 518
 
0.7%
223 511
 
0.7%
230 507
 
0.7%
229 505
 
0.7%
219 497
 
0.7%
Other values (246) 57223
81.7%
ValueCountFrequency (%)
0 7137
10.2%
1 397
 
0.6%
2 327
 
0.5%
3 231
 
0.3%
4 180
 
0.3%
ValueCountFrequency (%)
255 1529
2.2%
254 204
 
0.3%
253 177
 
0.3%
252 136
 
0.2%
251 129
 
0.2%

268
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean144.4306286
Minimum0
Maximum255
Zeros5821
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:00.891232image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q190
median164
Q3208
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)118

Descriptive statistics

Standard deviation75.71900898
Coefficient of variation (CV)0.5242586682
Kurtosis-0.8429358491
Mean144.4306286
Median Absolute Deviation (MAD)52
Skewness-0.5962386301
Sum10110144
Variance5733.368321
MonotonicityNot monotonic
2025-03-23T12:50:01.047408image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5821
 
8.3%
255 868
 
1.2%
225 547
 
0.8%
216 546
 
0.8%
211 532
 
0.8%
215 528
 
0.8%
210 524
 
0.7%
219 521
 
0.7%
205 518
 
0.7%
222 518
 
0.7%
Other values (246) 59077
84.4%
ValueCountFrequency (%)
0 5821
8.3%
1 309
 
0.4%
2 220
 
0.3%
3 168
 
0.2%
4 133
 
0.2%
ValueCountFrequency (%)
255 868
1.2%
254 140
 
0.2%
253 77
 
0.1%
252 85
 
0.1%
251 79
 
0.1%

269
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142.9755
Minimum0
Maximum255
Zeros6005
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:01.562913image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q187
median162
Q3207
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)120

Descriptive statistics

Standard deviation75.8285699
Coefficient of variation (CV)0.5303605856
Kurtosis-0.8749611642
Mean142.9755
Median Absolute Deviation (MAD)53
Skewness-0.5694663221
Sum10008285
Variance5749.972014
MonotonicityNot monotonic
2025-03-23T12:50:01.719168image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6005
 
8.6%
255 834
 
1.2%
215 564
 
0.8%
219 552
 
0.8%
216 547
 
0.8%
207 545
 
0.8%
213 536
 
0.8%
221 533
 
0.8%
222 524
 
0.7%
218 523
 
0.7%
Other values (246) 58837
84.1%
ValueCountFrequency (%)
0 6005
8.6%
1 327
 
0.5%
2 220
 
0.3%
3 137
 
0.2%
4 119
 
0.2%
ValueCountFrequency (%)
255 834
1.2%
254 145
 
0.2%
253 112
 
0.2%
252 83
 
0.1%
251 80
 
0.1%

270
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean133.1473857
Minimum0
Maximum255
Zeros9333
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:01.859716image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q163
median153
Q3205
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)142

Descriptive statistics

Standard deviation82.11265875
Coefficient of variation (CV)0.6167050018
Kurtosis-1.210342706
Mean133.1473857
Median Absolute Deviation (MAD)62
Skewness-0.3889961819
Sum9320317
Variance6742.488727
MonotonicityNot monotonic
2025-03-23T12:50:02.015969image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9333
 
13.3%
255 1002
 
1.4%
217 489
 
0.7%
206 487
 
0.7%
215 486
 
0.7%
220 486
 
0.7%
211 483
 
0.7%
219 482
 
0.7%
209 475
 
0.7%
225 471
 
0.7%
Other values (246) 55806
79.7%
ValueCountFrequency (%)
0 9333
13.3%
1 410
 
0.6%
2 253
 
0.4%
3 199
 
0.3%
4 162
 
0.2%
ValueCountFrequency (%)
255 1002
1.4%
254 207
 
0.3%
253 159
 
0.2%
252 95
 
0.1%
251 97
 
0.1%

271
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122.8407
Minimum0
Maximum255
Zeros13582
Zeros (%)19.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:02.172180image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q128
median140
Q3203
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)175

Descriptive statistics

Standard deviation87.09840877
Coefficient of variation (CV)0.7090354319
Kurtosis-1.445337055
Mean122.8407
Median Absolute Deviation (MAD)74
Skewness-0.2257947825
Sum8598849
Variance7586.132811
MonotonicityNot monotonic
2025-03-23T12:50:02.312735image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13582
 
19.4%
255 707
 
1.0%
1 630
 
0.9%
223 477
 
0.7%
213 475
 
0.7%
2 475
 
0.7%
214 473
 
0.7%
219 473
 
0.7%
209 464
 
0.7%
221 459
 
0.7%
Other values (246) 51785
74.0%
ValueCountFrequency (%)
0 13582
19.4%
1 630
 
0.9%
2 475
 
0.7%
3 292
 
0.4%
4 226
 
0.3%
ValueCountFrequency (%)
255 707
1.0%
254 134
 
0.2%
253 119
 
0.2%
252 98
 
0.1%
251 92
 
0.1%

272
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.0436
Minimum0
Maximum255
Zeros18637
Zeros (%)26.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:02.468984image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median135
Q3206
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)206

Descriptive statistics

Standard deviation93.74944906
Coefficient of variation (CV)0.8078812537
Kurtosis-1.629717379
Mean116.0436
Median Absolute Deviation (MAD)87
Skewness-0.1116934387
Sum8123052
Variance8788.959198
MonotonicityNot monotonic
2025-03-23T12:50:02.609583image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18637
26.6%
1 1201
 
1.7%
2 830
 
1.2%
255 718
 
1.0%
3 508
 
0.7%
215 489
 
0.7%
225 482
 
0.7%
220 482
 
0.7%
208 480
 
0.7%
216 474
 
0.7%
Other values (246) 45699
65.3%
ValueCountFrequency (%)
0 18637
26.6%
1 1201
 
1.7%
2 830
 
1.2%
3 508
 
0.7%
4 315
 
0.4%
ValueCountFrequency (%)
255 718
1.0%
254 159
 
0.2%
253 133
 
0.2%
252 118
 
0.2%
251 106
 
0.2%

273
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.8743857
Minimum0
Maximum255
Zeros22286
Zeros (%)31.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:02.750133image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median113
Q3202
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)202

Descriptive statistics

Standard deviation94.92420217
Coefficient of variation (CV)0.8881847745
Kurtosis-1.675415255
Mean106.8743857
Median Absolute Deviation (MAD)108
Skewness0.04893955471
Sum7481207
Variance9010.604158
MonotonicityNot monotonic
2025-03-23T12:50:02.906387image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22286
31.8%
1 1190
 
1.7%
2 709
 
1.0%
255 601
 
0.9%
222 468
 
0.7%
3 451
 
0.6%
219 448
 
0.6%
213 446
 
0.6%
225 433
 
0.6%
221 426
 
0.6%
Other values (246) 42542
60.8%
ValueCountFrequency (%)
0 22286
31.8%
1 1190
 
1.7%
2 709
 
1.0%
3 451
 
0.6%
4 270
 
0.4%
ValueCountFrequency (%)
255 601
0.9%
254 120
 
0.2%
253 107
 
0.2%
252 106
 
0.2%
251 76
 
0.1%

274
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.16447143
Minimum0
Maximum255
Zeros26021
Zeros (%)37.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:03.046978image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median75
Q3190
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)190

Descriptive statistics

Standard deviation93.44395534
Coefficient of variation (CV)0.9923483233
Kurtosis-1.591005272
Mean94.16447143
Median Absolute Deviation (MAD)75
Skewness0.2794528138
Sum6591513
Variance8731.772789
MonotonicityNot monotonic
2025-03-23T12:50:03.187565image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26021
37.2%
1 991
 
1.4%
2 603
 
0.9%
255 578
 
0.8%
3 432
 
0.6%
222 376
 
0.5%
216 368
 
0.5%
206 362
 
0.5%
224 353
 
0.5%
211 353
 
0.5%
Other values (246) 39563
56.5%
ValueCountFrequency (%)
0 26021
37.2%
1 991
 
1.4%
2 603
 
0.9%
3 432
 
0.6%
4 248
 
0.4%
ValueCountFrequency (%)
255 578
0.8%
254 116
 
0.2%
253 91
 
0.1%
252 84
 
0.1%
251 92
 
0.1%

275
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.22782857
Minimum0
Maximum255
Zeros32653
Zeros (%)46.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:03.328120image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q3163
95-th percentile229
Maximum255
Range255
Interquartile range (IQR)163

Descriptive statistics

Standard deviation88.9003458
Coefficient of variation (CV)1.197668685
Kurtosis-1.227977186
Mean74.22782857
Median Absolute Deviation (MAD)6
Skewness0.6569894014
Sum5195948
Variance7903.271484
MonotonicityNot monotonic
2025-03-23T12:50:03.484376image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32653
46.6%
1 834
 
1.2%
2 572
 
0.8%
255 379
 
0.5%
3 366
 
0.5%
216 290
 
0.4%
214 282
 
0.4%
219 279
 
0.4%
207 278
 
0.4%
202 274
 
0.4%
Other values (246) 33793
48.3%
ValueCountFrequency (%)
0 32653
46.6%
1 834
 
1.2%
2 572
 
0.8%
3 366
 
0.5%
4 263
 
0.4%
ValueCountFrequency (%)
255 379
0.5%
254 79
 
0.1%
253 72
 
0.1%
252 60
 
0.1%
251 57
 
0.1%

276
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.56982857
Minimum0
Maximum255
Zeros41561
Zeros (%)59.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:03.640592image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3114
95-th percentile221
Maximum255
Range255
Interquartile range (IQR)114

Descriptive statistics

Standard deviation82.26865562
Coefficient of variation (CV)1.507585011
Kurtosis-0.3950932912
Mean54.56982857
Median Absolute Deviation (MAD)0
Skewness1.120825562
Sum3819888
Variance6768.131697
MonotonicityNot monotonic
2025-03-23T12:50:03.781177image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 41561
59.4%
1 751
 
1.1%
2 477
 
0.7%
3 341
 
0.5%
4 252
 
0.4%
255 228
 
0.3%
212 222
 
0.3%
208 213
 
0.3%
198 200
 
0.3%
204 199
 
0.3%
Other values (246) 25556
36.5%
ValueCountFrequency (%)
0 41561
59.4%
1 751
 
1.1%
2 477
 
0.7%
3 341
 
0.5%
4 252
 
0.4%
ValueCountFrequency (%)
255 228
0.3%
254 43
 
0.1%
253 43
 
0.1%
252 44
 
0.1%
251 34
 
< 0.1%

277
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.35197143
Minimum0
Maximum255
Zeros47163
Zeros (%)67.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:03.921771image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q353
95-th percentile216
Maximum255
Range255
Interquartile range (IQR)53

Descriptive statistics

Standard deviation75.66194352
Coefficient of variation (CV)1.786503461
Kurtosis0.7375016016
Mean42.35197143
Median Absolute Deviation (MAD)0
Skewness1.52268008
Sum2964638
Variance5724.729698
MonotonicityNot monotonic
2025-03-23T12:50:04.077942image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 47163
67.4%
1 695
 
1.0%
2 453
 
0.6%
3 328
 
0.5%
255 302
 
0.4%
4 246
 
0.4%
5 178
 
0.3%
213 159
 
0.2%
195 156
 
0.2%
208 149
 
0.2%
Other values (246) 20171
28.8%
ValueCountFrequency (%)
0 47163
67.4%
1 695
 
1.0%
2 453
 
0.6%
3 328
 
0.5%
4 246
 
0.4%
ValueCountFrequency (%)
255 302
0.4%
254 53
 
0.1%
253 31
 
< 0.1%
252 55
 
0.1%
251 50
 
0.1%

278
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.31778571
Minimum0
Maximum255
Zeros54268
Zeros (%)77.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:04.218575image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile178
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation56.15070217
Coefficient of variation (CV)2.515962062
Kurtosis5.967865813
Mean22.31778571
Median Absolute Deviation (MAD)0
Skewness2.645943156
Sum1562245
Variance3152.901354
MonotonicityNot monotonic
2025-03-23T12:50:04.374787image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54268
77.5%
1 854
 
1.2%
2 518
 
0.7%
3 361
 
0.5%
255 347
 
0.5%
4 239
 
0.3%
5 206
 
0.3%
6 171
 
0.2%
7 122
 
0.2%
8 109
 
0.2%
Other values (246) 12805
 
18.3%
ValueCountFrequency (%)
0 54268
77.5%
1 854
 
1.2%
2 518
 
0.7%
3 361
 
0.5%
4 239
 
0.3%
ValueCountFrequency (%)
255 347
0.5%
254 37
 
0.1%
253 23
 
< 0.1%
252 23
 
< 0.1%
251 27
 
< 0.1%

279
Real number (ℝ)

Zeros 

Distinct231
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.640971429
Minimum0
Maximum255
Zeros63573
Zeros (%)90.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:04.515385image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile27.05
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21.57663169
Coefficient of variation (CV)4.649162792
Kurtosis36.03150176
Mean4.640971429
Median Absolute Deviation (MAD)0
Skewness5.716141345
Sum324868
Variance465.5510349
MonotonicityNot monotonic
2025-03-23T12:50:04.671590image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63573
90.8%
1 924
 
1.3%
2 510
 
0.7%
3 226
 
0.3%
4 157
 
0.2%
5 69
 
0.1%
6 64
 
0.1%
7 64
 
0.1%
8 60
 
0.1%
17 57
 
0.1%
Other values (221) 4296
 
6.1%
ValueCountFrequency (%)
0 63573
90.8%
1 924
 
1.3%
2 510
 
0.7%
3 226
 
0.3%
4 157
 
0.2%
ValueCountFrequency (%)
255 2
< 0.1%
252 1
< 0.1%
249 1
< 0.1%
247 1
< 0.1%
243 1
< 0.1%

280
Real number (ℝ)

Zeros 

Distinct215
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5456
Minimum0
Maximum247
Zeros67939
Zeros (%)97.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:04.812187image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum247
Range247
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.26841173
Coefficient of variation (CV)8.584634921
Kurtosis120.4954732
Mean1.5456
Median Absolute Deviation (MAD)0
Skewness10.43103383
Sum108192
Variance176.0507499
MonotonicityNot monotonic
2025-03-23T12:50:04.968395image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67939
97.1%
1 295
 
0.4%
2 168
 
0.2%
3 100
 
0.1%
4 79
 
0.1%
5 62
 
0.1%
6 46
 
0.1%
7 29
 
< 0.1%
8 20
 
< 0.1%
33 19
 
< 0.1%
Other values (205) 1243
 
1.8%
ValueCountFrequency (%)
0 67939
97.1%
1 295
 
0.4%
2 168
 
0.2%
3 100
 
0.1%
4 79
 
0.1%
ValueCountFrequency (%)
247 1
< 0.1%
245 1
< 0.1%
243 2
< 0.1%
234 2
< 0.1%
231 1
< 0.1%

281
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.423085714
Minimum0
Maximum255
Zeros66318
Zeros (%)94.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:05.124612image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation30.13891747
Coefficient of variation (CV)5.557521872
Kurtosis38.51271471
Mean5.423085714
Median Absolute Deviation (MAD)0
Skewness6.142309658
Sum379616
Variance908.3543464
MonotonicityNot monotonic
2025-03-23T12:50:05.265216image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66318
94.7%
1 285
 
0.4%
2 180
 
0.3%
3 127
 
0.2%
255 105
 
0.1%
4 76
 
0.1%
5 53
 
0.1%
6 40
 
0.1%
7 30
 
< 0.1%
8 29
 
< 0.1%
Other values (246) 2757
 
3.9%
ValueCountFrequency (%)
0 66318
94.7%
1 285
 
0.4%
2 180
 
0.3%
3 127
 
0.2%
4 76
 
0.1%
ValueCountFrequency (%)
255 105
0.1%
254 9
 
< 0.1%
253 10
 
< 0.1%
252 8
 
< 0.1%
251 10
 
< 0.1%

282
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.84
Minimum0
Maximum255
Zeros64193
Zeros (%)91.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:05.421415image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile72
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation37.24901178
Coefficient of variation (CV)4.213689115
Kurtosis20.49839031
Mean8.84
Median Absolute Deviation (MAD)0
Skewness4.56319863
Sum618800
Variance1387.488878
MonotonicityNot monotonic
2025-03-23T12:50:05.577590image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64193
91.7%
1 330
 
0.5%
2 228
 
0.3%
3 161
 
0.2%
4 95
 
0.1%
5 58
 
0.1%
255 48
 
0.1%
6 47
 
0.1%
8 41
 
0.1%
7 39
 
0.1%
Other values (246) 4760
 
6.8%
ValueCountFrequency (%)
0 64193
91.7%
1 330
 
0.5%
2 228
 
0.3%
3 161
 
0.2%
4 95
 
0.1%
ValueCountFrequency (%)
255 48
0.1%
254 6
 
< 0.1%
253 2
 
< 0.1%
252 6
 
< 0.1%
251 3
 
< 0.1%

283
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.3454
Minimum0
Maximum255
Zeros59132
Zeros (%)84.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:05.718217image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile163
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation50.85794859
Coefficient of variation (CV)2.932071246
Kurtosis8.342579466
Mean17.3454
Median Absolute Deviation (MAD)0
Skewness3.061534678
Sum1214178
Variance2586.530935
MonotonicityNot monotonic
2025-03-23T12:50:05.874435image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59132
84.5%
1 473
 
0.7%
2 273
 
0.4%
3 171
 
0.2%
255 104
 
0.1%
4 94
 
0.1%
7 91
 
0.1%
5 88
 
0.1%
6 81
 
0.1%
205 60
 
0.1%
Other values (246) 9433
 
13.5%
ValueCountFrequency (%)
0 59132
84.5%
1 473
 
0.7%
2 273
 
0.4%
3 171
 
0.2%
4 94
 
0.1%
ValueCountFrequency (%)
255 104
0.1%
254 21
 
< 0.1%
253 18
 
< 0.1%
252 12
 
< 0.1%
251 11
 
< 0.1%

284
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.28775714
Minimum0
Maximum255
Zeros50043
Zeros (%)71.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:06.030647image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q316
95-th percentile210
Maximum255
Range255
Interquartile range (IQR)16

Descriptive statistics

Standard deviation69.81129732
Coefficient of variation (CV)1.978343283
Kurtosis1.858703038
Mean35.28775714
Median Absolute Deviation (MAD)0
Skewness1.823557131
Sum2470143
Variance4873.617233
MonotonicityNot monotonic
2025-03-23T12:50:06.171236image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 50043
71.5%
1 583
 
0.8%
2 368
 
0.5%
255 271
 
0.4%
3 247
 
0.4%
4 167
 
0.2%
5 123
 
0.2%
6 118
 
0.2%
212 111
 
0.2%
7 109
 
0.2%
Other values (246) 17860
 
25.5%
ValueCountFrequency (%)
0 50043
71.5%
1 583
 
0.8%
2 368
 
0.5%
3 247
 
0.4%
4 167
 
0.2%
ValueCountFrequency (%)
255 271
0.4%
254 82
 
0.1%
253 38
 
0.1%
252 36
 
0.1%
251 46
 
0.1%

285
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.10154286
Minimum0
Maximum255
Zeros41300
Zeros (%)59.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:06.327454image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3128
95-th percentile229
Maximum255
Range255
Interquartile range (IQR)128

Descriptive statistics

Standard deviation85.86665437
Coefficient of variation (CV)1.452866545
Kurtosis-0.5760153251
Mean59.10154286
Median Absolute Deviation (MAD)0
Skewness1.035528454
Sum4137108
Variance7373.082333
MonotonicityNot monotonic
2025-03-23T12:50:06.468048image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 41300
59.0%
1 675
 
1.0%
255 612
 
0.9%
2 362
 
0.5%
3 248
 
0.4%
214 208
 
0.3%
218 206
 
0.3%
215 203
 
0.3%
220 202
 
0.3%
216 193
 
0.3%
Other values (246) 25791
36.8%
ValueCountFrequency (%)
0 41300
59.0%
1 675
 
1.0%
2 362
 
0.5%
3 248
 
0.4%
4 159
 
0.2%
ValueCountFrequency (%)
255 612
0.9%
254 116
 
0.2%
253 100
 
0.1%
252 92
 
0.1%
251 64
 
0.1%

286
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.5583
Minimum0
Maximum255
Zeros36782
Zeros (%)52.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:06.608597image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3169
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)169

Descriptive statistics

Standard deviation91.99953742
Coefficient of variation (CV)1.267939539
Kurtosis-1.206091229
Mean72.5583
Median Absolute Deviation (MAD)0
Skewness0.713474626
Sum5079081
Variance8463.914886
MonotonicityNot monotonic
2025-03-23T12:50:06.764845image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36782
52.5%
1 816
 
1.2%
255 580
 
0.8%
2 456
 
0.7%
217 291
 
0.4%
3 291
 
0.4%
219 283
 
0.4%
227 276
 
0.4%
220 275
 
0.4%
222 275
 
0.4%
Other values (246) 29675
42.4%
ValueCountFrequency (%)
0 36782
52.5%
1 816
 
1.2%
2 456
 
0.7%
3 291
 
0.4%
4 187
 
0.3%
ValueCountFrequency (%)
255 580
0.8%
254 133
 
0.2%
253 95
 
0.1%
252 67
 
0.1%
251 70
 
0.1%

287
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.50661429
Minimum0
Maximum255
Zeros32894
Zeros (%)47.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:06.905443image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q3188
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)188

Descriptive statistics

Standard deviation96.27316979
Coefficient of variation (CV)1.139238279
Kurtosis-1.497738666
Mean84.50661429
Median Absolute Deviation (MAD)4
Skewness0.4841901828
Sum5915463
Variance9268.523221
MonotonicityNot monotonic
2025-03-23T12:50:07.420948image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32894
47.0%
1 1059
 
1.5%
255 736
 
1.1%
2 609
 
0.9%
223 351
 
0.5%
3 339
 
0.5%
221 329
 
0.5%
216 328
 
0.5%
229 327
 
0.5%
225 325
 
0.5%
Other values (246) 32703
46.7%
ValueCountFrequency (%)
0 32894
47.0%
1 1059
 
1.5%
2 609
 
0.9%
3 339
 
0.5%
4 213
 
0.3%
ValueCountFrequency (%)
255 736
1.1%
254 202
 
0.3%
253 134
 
0.2%
252 108
 
0.2%
251 118
 
0.2%

288
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.86744286
Minimum0
Maximum255
Zeros27980
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:07.561495image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median60
Q3189
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)189

Descriptive statistics

Standard deviation94.95512726
Coefficient of variation (CV)1.044985137
Kurtosis-1.554665489
Mean90.86744286
Median Absolute Deviation (MAD)60
Skewness0.3586900727
Sum6360721
Variance9016.476193
MonotonicityNot monotonic
2025-03-23T12:50:07.717746image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27980
40.0%
1 1580
 
2.3%
2 812
 
1.2%
255 789
 
1.1%
3 428
 
0.6%
221 347
 
0.5%
226 339
 
0.5%
227 336
 
0.5%
219 334
 
0.5%
218 331
 
0.5%
Other values (246) 36724
52.5%
ValueCountFrequency (%)
0 27980
40.0%
1 1580
 
2.3%
2 812
 
1.2%
3 428
 
0.6%
4 267
 
0.4%
ValueCountFrequency (%)
255 789
1.1%
254 188
 
0.3%
253 126
 
0.2%
252 137
 
0.2%
251 115
 
0.2%

289
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.3672
Minimum0
Maximum255
Zeros21644
Zeros (%)30.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:07.858300image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median93
Q3189
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)189

Descriptive statistics

Standard deviation91.26880217
Coefficient of variation (CV)0.9278377566
Kurtosis-1.569687338
Mean98.3672
Median Absolute Deviation (MAD)93
Skewness0.1952897281
Sum6885704
Variance8329.99425
MonotonicityNot monotonic
2025-03-23T12:50:08.014559image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21644
30.9%
1 1972
 
2.8%
2 944
 
1.3%
255 838
 
1.2%
3 494
 
0.7%
219 370
 
0.5%
4 364
 
0.5%
226 358
 
0.5%
216 357
 
0.5%
207 354
 
0.5%
Other values (246) 42305
60.4%
ValueCountFrequency (%)
0 21644
30.9%
1 1972
 
2.8%
2 944
 
1.3%
3 494
 
0.7%
4 364
 
0.5%
ValueCountFrequency (%)
255 838
1.2%
254 140
 
0.2%
253 99
 
0.1%
252 89
 
0.1%
251 81
 
0.1%

290
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.4512
Minimum0
Maximum255
Zeros17901
Zeros (%)25.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:08.155148image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median120
Q3197
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)197

Descriptive statistics

Standard deviation90.45630402
Coefficient of variation (CV)0.8189707674
Kurtosis-1.568957221
Mean110.4512
Median Absolute Deviation (MAD)92
Skewness-0.01981243793
Sum7731584
Variance8182.342938
MonotonicityNot monotonic
2025-03-23T12:50:08.295741image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17901
 
25.6%
1 1411
 
2.0%
255 1056
 
1.5%
2 827
 
1.2%
3 477
 
0.7%
225 406
 
0.6%
217 404
 
0.6%
226 404
 
0.6%
213 402
 
0.6%
222 399
 
0.6%
Other values (246) 46313
66.2%
ValueCountFrequency (%)
0 17901
25.6%
1 1411
 
2.0%
2 827
 
1.2%
3 477
 
0.7%
4 334
 
0.5%
ValueCountFrequency (%)
255 1056
1.5%
254 170
 
0.2%
253 121
 
0.2%
252 97
 
0.1%
251 87
 
0.1%

291
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.1101571
Minimum0
Maximum255
Zeros15634
Zeros (%)22.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:08.451952image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median128.5
Q3198
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)196

Descriptive statistics

Standard deviation88.15071121
Coefficient of variation (CV)0.7657943782
Kurtosis-1.523668729
Mean115.1101571
Median Absolute Deviation (MAD)82.5
Skewness-0.1198314014
Sum8057711
Variance7770.547888
MonotonicityNot monotonic
2025-03-23T12:50:08.592538image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15634
 
22.3%
1 1235
 
1.8%
2 705
 
1.0%
255 624
 
0.9%
223 466
 
0.7%
218 454
 
0.6%
222 453
 
0.6%
3 448
 
0.6%
213 443
 
0.6%
220 441
 
0.6%
Other values (246) 49097
70.1%
ValueCountFrequency (%)
0 15634
22.3%
1 1235
 
1.8%
2 705
 
1.0%
3 448
 
0.6%
4 299
 
0.4%
ValueCountFrequency (%)
255 624
0.9%
254 95
 
0.1%
253 92
 
0.1%
252 67
 
0.1%
251 76
 
0.1%

292
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121.7172571
Minimum0
Maximum255
Zeros13255
Zeros (%)18.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:08.748755image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q126
median138
Q3202
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)176

Descriptive statistics

Standard deviation87.0903661
Coefficient of variation (CV)0.7155137089
Kurtosis-1.449306383
Mean121.7172571
Median Absolute Deviation (MAD)76
Skewness-0.2018737111
Sum8520208
Variance7584.731867
MonotonicityNot monotonic
2025-03-23T12:50:08.889348image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13255
 
18.9%
1 944
 
1.3%
255 927
 
1.3%
2 559
 
0.8%
222 494
 
0.7%
221 486
 
0.7%
228 485
 
0.7%
218 461
 
0.7%
224 452
 
0.6%
214 451
 
0.6%
Other values (246) 51486
73.6%
ValueCountFrequency (%)
0 13255
18.9%
1 944
 
1.3%
2 559
 
0.8%
3 344
 
0.5%
4 269
 
0.4%
ValueCountFrequency (%)
255 927
1.3%
254 157
 
0.2%
253 118
 
0.2%
252 101
 
0.1%
251 103
 
0.1%

293
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.2192429
Minimum0
Maximum255
Zeros9914
Zeros (%)14.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:09.045557image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q151
median144
Q3201
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)150

Descriptive statistics

Standard deviation82.82475391
Coefficient of variation (CV)0.651039513
Kurtosis-1.306107959
Mean127.2192429
Median Absolute Deviation (MAD)68
Skewness-0.2951047838
Sum8905347
Variance6859.93986
MonotonicityNot monotonic
2025-03-23T12:50:09.201771image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9914
 
14.2%
255 752
 
1.1%
1 652
 
0.9%
224 501
 
0.7%
2 492
 
0.7%
221 477
 
0.7%
218 465
 
0.7%
223 456
 
0.7%
226 447
 
0.6%
214 447
 
0.6%
Other values (246) 55397
79.1%
ValueCountFrequency (%)
0 9914
14.2%
1 652
 
0.9%
2 492
 
0.7%
3 308
 
0.4%
4 254
 
0.4%
ValueCountFrequency (%)
255 752
1.1%
254 131
 
0.2%
253 101
 
0.1%
252 79
 
0.1%
251 82
 
0.1%

294
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.7048286
Minimum0
Maximum255
Zeros9238
Zeros (%)13.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:09.342369image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q160
median147
Q3201
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)141

Descriptive statistics

Standard deviation80.73233012
Coefficient of variation (CV)0.6224311848
Kurtosis-1.229636078
Mean129.7048286
Median Absolute Deviation (MAD)64
Skewness-0.356019773
Sum9079338
Variance6517.709127
MonotonicityNot monotonic
2025-03-23T12:50:09.498579image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9238
 
13.2%
255 509
 
0.7%
214 493
 
0.7%
222 491
 
0.7%
215 488
 
0.7%
1 479
 
0.7%
218 476
 
0.7%
220 469
 
0.7%
213 458
 
0.7%
206 454
 
0.6%
Other values (246) 56445
80.6%
ValueCountFrequency (%)
0 9238
13.2%
1 479
 
0.7%
2 321
 
0.5%
3 265
 
0.4%
4 181
 
0.3%
ValueCountFrequency (%)
255 509
0.7%
254 79
 
0.1%
253 61
 
0.1%
252 66
 
0.1%
251 67
 
0.1%

295
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148.8739857
Minimum0
Maximum255
Zeros5136
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:09.639130image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q196
median169
Q3211
95-th percentile243
Maximum255
Range255
Interquartile range (IQR)115

Descriptive statistics

Standard deviation75.74613964
Coefficient of variation (CV)0.5087936571
Kurtosis-0.7653191427
Mean148.8739857
Median Absolute Deviation (MAD)51
Skewness-0.6272264706
Sum10421179
Variance5737.47767
MonotonicityNot monotonic
2025-03-23T12:50:09.795381image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5136
 
7.3%
255 1683
 
2.4%
222 576
 
0.8%
221 564
 
0.8%
216 553
 
0.8%
213 542
 
0.8%
226 542
 
0.8%
225 539
 
0.8%
227 538
 
0.8%
211 529
 
0.8%
Other values (246) 58798
84.0%
ValueCountFrequency (%)
0 5136
7.3%
1 345
 
0.5%
2 243
 
0.3%
3 208
 
0.3%
4 122
 
0.2%
ValueCountFrequency (%)
255 1683
2.4%
254 227
 
0.3%
253 176
 
0.3%
252 154
 
0.2%
251 151
 
0.2%

296
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean150.1229571
Minimum0
Maximum255
Zeros4658
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:09.951598image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1102
median170
Q3209
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)107

Descriptive statistics

Standard deviation72.69349362
Coefficient of variation (CV)0.4842263635
Kurtosis-0.6083407702
Mean150.1229571
Median Absolute Deviation (MAD)47
Skewness-0.6970705869
Sum10508607
Variance5284.344015
MonotonicityNot monotonic
2025-03-23T12:50:10.092185image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4658
 
6.7%
255 927
 
1.3%
211 585
 
0.8%
224 572
 
0.8%
225 571
 
0.8%
221 569
 
0.8%
212 559
 
0.8%
214 553
 
0.8%
222 545
 
0.8%
205 537
 
0.8%
Other values (246) 59924
85.6%
ValueCountFrequency (%)
0 4658
6.7%
1 285
 
0.4%
2 182
 
0.3%
3 136
 
0.2%
4 91
 
0.1%
ValueCountFrequency (%)
255 927
1.3%
254 144
 
0.2%
253 106
 
0.2%
252 92
 
0.1%
251 76
 
0.1%

297
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148.9939714
Minimum0
Maximum255
Zeros4591
Zeros (%)6.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:10.248403image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q199
median168
Q3209
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)110

Descriptive statistics

Standard deviation72.91400746
Coefficient of variation (CV)0.489375555
Kurtosis-0.6637407669
Mean148.9939714
Median Absolute Deviation (MAD)49
Skewness-0.6684564202
Sum10429578
Variance5316.452484
MonotonicityNot monotonic
2025-03-23T12:50:10.388956image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4591
 
6.6%
255 889
 
1.3%
222 586
 
0.8%
225 573
 
0.8%
218 565
 
0.8%
213 564
 
0.8%
224 562
 
0.8%
217 562
 
0.8%
219 561
 
0.8%
221 555
 
0.8%
Other values (246) 59992
85.7%
ValueCountFrequency (%)
0 4591
6.6%
1 308
 
0.4%
2 187
 
0.3%
3 120
 
0.2%
4 89
 
0.1%
ValueCountFrequency (%)
255 889
1.3%
254 133
 
0.2%
253 99
 
0.1%
252 87
 
0.1%
251 90
 
0.1%

298
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.5500286
Minimum0
Maximum255
Zeros7428
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:10.529585image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q177
median159
Q3208
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)131

Descriptive statistics

Standard deviation79.63157934
Coefficient of variation (CV)0.5706310501
Kurtosis-1.054783873
Mean139.5500286
Median Absolute Deviation (MAD)58
Skewness-0.4807531749
Sum9768502
Variance6341.188428
MonotonicityNot monotonic
2025-03-23T12:50:10.685801image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7428
 
10.6%
255 1241
 
1.8%
214 531
 
0.8%
216 518
 
0.7%
212 517
 
0.7%
219 516
 
0.7%
218 507
 
0.7%
221 504
 
0.7%
223 504
 
0.7%
220 499
 
0.7%
Other values (246) 57235
81.8%
ValueCountFrequency (%)
0 7428
10.6%
1 339
 
0.5%
2 235
 
0.3%
3 145
 
0.2%
4 132
 
0.2%
ValueCountFrequency (%)
255 1241
1.8%
254 226
 
0.3%
253 152
 
0.2%
252 125
 
0.2%
251 118
 
0.2%

299
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.0974429
Minimum0
Maximum255
Zeros12496
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:10.826387image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q139
median144
Q3205
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)166

Descriptive statistics

Standard deviation86.28381434
Coefficient of variation (CV)0.6842629984
Kurtosis-1.402020372
Mean126.0974429
Median Absolute Deviation (MAD)72
Skewness-0.2674543878
Sum8826821
Variance7444.896618
MonotonicityNot monotonic
2025-03-23T12:50:10.982602image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12496
 
17.9%
255 803
 
1.1%
216 524
 
0.7%
214 488
 
0.7%
224 484
 
0.7%
218 478
 
0.7%
222 473
 
0.7%
220 470
 
0.7%
219 469
 
0.7%
217 468
 
0.7%
Other values (246) 52847
75.5%
ValueCountFrequency (%)
0 12496
17.9%
1 419
 
0.6%
2 311
 
0.4%
3 227
 
0.3%
4 173
 
0.2%
ValueCountFrequency (%)
255 803
1.1%
254 172
 
0.2%
253 108
 
0.2%
252 94
 
0.1%
251 105
 
0.1%

300
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.3191714
Minimum0
Maximum255
Zeros18265
Zeros (%)26.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:11.123156image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median140
Q3208
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)208

Descriptive statistics

Standard deviation93.41806142
Coefficient of variation (CV)0.7829258308
Kurtosis-1.600032548
Mean119.3191714
Median Absolute Deviation (MAD)83
Skewness-0.1587049122
Sum8352342
Variance8726.9342
MonotonicityNot monotonic
2025-03-23T12:50:11.279408image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18265
 
26.1%
255 855
 
1.2%
1 763
 
1.1%
2 548
 
0.8%
222 494
 
0.7%
217 492
 
0.7%
220 483
 
0.7%
223 482
 
0.7%
225 480
 
0.7%
214 476
 
0.7%
Other values (246) 46662
66.7%
ValueCountFrequency (%)
0 18265
26.1%
1 763
 
1.1%
2 548
 
0.8%
3 338
 
0.5%
4 218
 
0.3%
ValueCountFrequency (%)
255 855
1.2%
254 218
 
0.3%
253 160
 
0.2%
252 128
 
0.2%
251 147
 
0.2%

301
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.9617
Minimum0
Maximum255
Zeros21782
Zeros (%)31.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:11.419997image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median121
Q3204
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)204

Descriptive statistics

Standard deviation94.71433072
Coefficient of variation (CV)0.8613392729
Kurtosis-1.665442309
Mean109.9617
Median Absolute Deviation (MAD)100
Skewness4.955968421 × 10-5
Sum7697319
Variance8970.804445
MonotonicityNot monotonic
2025-03-23T12:50:11.560590image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21782
31.1%
1 769
 
1.1%
255 736
 
1.1%
2 519
 
0.7%
222 460
 
0.7%
213 455
 
0.7%
227 449
 
0.6%
225 448
 
0.6%
221 444
 
0.6%
230 440
 
0.6%
Other values (246) 43498
62.1%
ValueCountFrequency (%)
0 21782
31.1%
1 769
 
1.1%
2 519
 
0.7%
3 321
 
0.5%
4 212
 
0.3%
ValueCountFrequency (%)
255 736
1.1%
254 160
 
0.2%
253 122
 
0.2%
252 108
 
0.2%
251 108
 
0.2%

302
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.62925714
Minimum0
Maximum255
Zeros24873
Zeros (%)35.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:11.701185image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median89
Q3194
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)194

Descriptive statistics

Standard deviation93.63161976
Coefficient of variation (CV)0.9493290579
Kurtosis-1.617337249
Mean98.62925714
Median Absolute Deviation (MAD)89
Skewness0.202249233
Sum6904048
Variance8766.880219
MonotonicityNot monotonic
2025-03-23T12:50:11.857402image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24873
35.5%
255 750
 
1.1%
1 656
 
0.9%
2 501
 
0.7%
213 383
 
0.5%
209 383
 
0.5%
219 380
 
0.5%
210 370
 
0.5%
216 367
 
0.5%
217 366
 
0.5%
Other values (246) 40971
58.5%
ValueCountFrequency (%)
0 24873
35.5%
1 656
 
0.9%
2 501
 
0.7%
3 315
 
0.4%
4 214
 
0.3%
ValueCountFrequency (%)
255 750
1.1%
254 150
 
0.2%
253 115
 
0.2%
252 94
 
0.1%
251 89
 
0.1%

303
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80.35112857
Minimum0
Maximum255
Zeros30474
Zeros (%)43.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:11.997983image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median30
Q3173
95-th percentile231
Maximum255
Range255
Interquartile range (IQR)173

Descriptive statistics

Standard deviation90.07330077
Coefficient of variation (CV)1.120996088
Kurtosis-1.369186069
Mean80.35112857
Median Absolute Deviation (MAD)30
Skewness0.5333171188
Sum5624579
Variance8113.199512
MonotonicityNot monotonic
2025-03-23T12:50:12.154201image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30474
43.5%
1 612
 
0.9%
255 477
 
0.7%
2 437
 
0.6%
208 319
 
0.5%
210 308
 
0.4%
214 308
 
0.4%
3 303
 
0.4%
203 300
 
0.4%
209 295
 
0.4%
Other values (246) 36167
51.7%
ValueCountFrequency (%)
0 30474
43.5%
1 612
 
0.9%
2 437
 
0.6%
3 303
 
0.4%
4 240
 
0.3%
ValueCountFrequency (%)
255 477
0.7%
254 102
 
0.1%
253 89
 
0.1%
252 76
 
0.1%
251 57
 
0.1%

304
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.88851429
Minimum0
Maximum255
Zeros39326
Zeros (%)56.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:12.294791image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3137
95-th percentile223
Maximum255
Range255
Interquartile range (IQR)137

Descriptive statistics

Standard deviation84.80105265
Coefficient of variation (CV)1.392726586
Kurtosis-0.7694215241
Mean60.88851429
Median Absolute Deviation (MAD)0
Skewness0.9463851825
Sum4262196
Variance7191.218531
MonotonicityNot monotonic
2025-03-23T12:50:12.451009image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 39326
56.2%
1 549
 
0.8%
2 353
 
0.5%
3 267
 
0.4%
255 256
 
0.4%
206 252
 
0.4%
207 249
 
0.4%
209 241
 
0.3%
205 235
 
0.3%
196 231
 
0.3%
Other values (246) 28041
40.1%
ValueCountFrequency (%)
0 39326
56.2%
1 549
 
0.8%
2 353
 
0.5%
3 267
 
0.4%
4 193
 
0.3%
ValueCountFrequency (%)
255 256
0.4%
254 55
 
0.1%
253 43
 
0.1%
252 34
 
< 0.1%
251 47
 
0.1%

305
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.11457143
Minimum0
Maximum255
Zeros45100
Zeros (%)64.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:12.591558image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q397
95-th percentile221
Maximum255
Range255
Interquartile range (IQR)97

Descriptive statistics

Standard deviation80.92501891
Coefficient of variation (CV)1.614800179
Kurtosis-0.05661769193
Mean50.11457143
Median Absolute Deviation (MAD)0
Skewness1.258272911
Sum3508020
Variance6548.858686
MonotonicityNot monotonic
2025-03-23T12:50:12.732150image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45100
64.4%
1 502
 
0.7%
255 409
 
0.6%
2 287
 
0.4%
3 197
 
0.3%
215 190
 
0.3%
210 177
 
0.3%
4 176
 
0.3%
213 176
 
0.3%
220 174
 
0.2%
Other values (246) 22612
32.3%
ValueCountFrequency (%)
0 45100
64.4%
1 502
 
0.7%
2 287
 
0.4%
3 197
 
0.3%
4 176
 
0.3%
ValueCountFrequency (%)
255 409
0.6%
254 52
 
0.1%
253 41
 
0.1%
252 61
 
0.1%
251 53
 
0.1%

306
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.73781429
Minimum0
Maximum255
Zeros51883
Zeros (%)74.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:12.872780image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile196
Maximum255
Range255
Interquartile range (IQR)2

Descriptive statistics

Standard deviation63.24867424
Coefficient of variation (CV)2.200886734
Kurtosis3.629457281
Mean28.73781429
Median Absolute Deviation (MAD)0
Skewness2.205153406
Sum2011647
Variance4000.394793
MonotonicityNot monotonic
2025-03-23T12:50:13.403867image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 51883
74.1%
1 595
 
0.9%
255 529
 
0.8%
2 387
 
0.6%
3 274
 
0.4%
4 197
 
0.3%
5 167
 
0.2%
6 133
 
0.2%
8 127
 
0.2%
7 117
 
0.2%
Other values (246) 15591
 
22.3%
ValueCountFrequency (%)
0 51883
74.1%
1 595
 
0.9%
2 387
 
0.6%
3 274
 
0.4%
4 197
 
0.3%
ValueCountFrequency (%)
255 529
0.8%
254 55
 
0.1%
253 45
 
0.1%
252 37
 
0.1%
251 33
 
< 0.1%

307
Real number (ℝ)

Zeros 

Distinct237
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.788557143
Minimum0
Maximum255
Zeros62759
Zeros (%)89.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:13.560122image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile46
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation23.95995395
Coefficient of variation (CV)4.139192782
Kurtosis27.7534322
Mean5.788557143
Median Absolute Deviation (MAD)0
Skewness5.041787047
Sum405199
Variance574.0793931
MonotonicityNot monotonic
2025-03-23T12:50:13.700713image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62759
89.7%
1 708
 
1.0%
2 392
 
0.6%
3 228
 
0.3%
4 150
 
0.2%
5 100
 
0.1%
6 84
 
0.1%
7 75
 
0.1%
8 69
 
0.1%
23 68
 
0.1%
Other values (227) 5367
 
7.7%
ValueCountFrequency (%)
0 62759
89.7%
1 708
 
1.0%
2 392
 
0.6%
3 228
 
0.3%
4 150
 
0.2%
ValueCountFrequency (%)
255 1
< 0.1%
252 1
< 0.1%
249 1
< 0.1%
244 2
< 0.1%
240 1
< 0.1%

308
Real number (ℝ)

Zeros 

Distinct218
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.893771429
Minimum0
Maximum255
Zeros66559
Zeros (%)95.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:13.856929image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.59602839
Coefficient of variation (CV)7.707386524
Kurtosis96.12909582
Mean1.893771429
Median Absolute Deviation (MAD)0
Skewness9.355309262
Sum132564
Variance213.0440447
MonotonicityNot monotonic
2025-03-23T12:50:14.013139image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66559
95.1%
1 1143
 
1.6%
2 346
 
0.5%
3 171
 
0.2%
4 105
 
0.1%
5 58
 
0.1%
6 40
 
0.1%
7 35
 
0.1%
8 28
 
< 0.1%
55 20
 
< 0.1%
Other values (208) 1495
 
2.1%
ValueCountFrequency (%)
0 66559
95.1%
1 1143
 
1.6%
2 346
 
0.5%
3 171
 
0.2%
4 105
 
0.1%
ValueCountFrequency (%)
255 1
< 0.1%
253 1
< 0.1%
238 1
< 0.1%
233 2
< 0.1%
232 1
< 0.1%

309
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.218228571
Minimum0
Maximum255
Zeros65098
Zeros (%)93.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:14.153738image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation32.41352914
Coefficient of variation (CV)5.212662861
Kurtosis33.20350182
Mean6.218228571
Median Absolute Deviation (MAD)0
Skewness5.72747393
Sum435276
Variance1050.636871
MonotonicityNot monotonic
2025-03-23T12:50:14.309945image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65098
93.0%
1 859
 
1.2%
2 384
 
0.5%
3 181
 
0.3%
4 128
 
0.2%
255 125
 
0.2%
5 69
 
0.1%
6 59
 
0.1%
7 34
 
< 0.1%
205 29
 
< 0.1%
Other values (246) 3034
 
4.3%
ValueCountFrequency (%)
0 65098
93.0%
1 859
 
1.2%
2 384
 
0.5%
3 181
 
0.3%
4 128
 
0.2%
ValueCountFrequency (%)
255 125
0.2%
254 16
 
< 0.1%
253 12
 
< 0.1%
252 12
 
< 0.1%
251 5
 
< 0.1%

310
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.176642857
Minimum0
Maximum255
Zeros62900
Zeros (%)89.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:14.466119image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile76
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation38.36868868
Coefficient of variation (CV)4.181124762
Kurtosis19.85201042
Mean9.176642857
Median Absolute Deviation (MAD)0
Skewness4.506979016
Sum642365
Variance1472.156271
MonotonicityNot monotonic
2025-03-23T12:50:14.606752image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62900
89.9%
1 1079
 
1.5%
2 483
 
0.7%
3 278
 
0.4%
4 177
 
0.3%
5 127
 
0.2%
6 68
 
0.1%
255 53
 
0.1%
7 51
 
0.1%
8 40
 
0.1%
Other values (246) 4744
 
6.8%
ValueCountFrequency (%)
0 62900
89.9%
1 1079
 
1.5%
2 483
 
0.7%
3 278
 
0.4%
4 177
 
0.3%
ValueCountFrequency (%)
255 53
0.1%
254 8
 
< 0.1%
253 13
 
< 0.1%
252 10
 
< 0.1%
251 8
 
< 0.1%

311
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.99207143
Minimum0
Maximum255
Zeros57826
Zeros (%)82.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:14.762967image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile163
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation50.67521014
Coefficient of variation (CV)2.982285612
Kurtosis8.725089254
Mean16.99207143
Median Absolute Deviation (MAD)0
Skewness3.124695589
Sum1189445
Variance2567.976923
MonotonicityNot monotonic
2025-03-23T12:50:14.903588image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 57826
82.6%
1 1336
 
1.9%
2 601
 
0.9%
3 381
 
0.5%
4 227
 
0.3%
5 146
 
0.2%
255 118
 
0.2%
6 108
 
0.2%
7 85
 
0.1%
9 65
 
0.1%
Other values (246) 9107
 
13.0%
ValueCountFrequency (%)
0 57826
82.6%
1 1336
 
1.9%
2 601
 
0.9%
3 381
 
0.5%
4 227
 
0.3%
ValueCountFrequency (%)
255 118
0.2%
254 30
 
< 0.1%
253 17
 
< 0.1%
252 9
 
< 0.1%
251 12
 
< 0.1%

312
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.68067143
Minimum0
Maximum255
Zeros47312
Zeros (%)67.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:15.059765image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q314
95-th percentile210
Maximum255
Range255
Interquartile range (IQR)14

Descriptive statistics

Standard deviation69.3187262
Coefficient of variation (CV)1.99877117
Kurtosis2.060490007
Mean34.68067143
Median Absolute Deviation (MAD)0
Skewness1.873540872
Sum2427647
Variance4805.085802
MonotonicityNot monotonic
2025-03-23T12:50:15.200360image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 47312
67.6%
1 2003
 
2.9%
2 1030
 
1.5%
3 556
 
0.8%
4 356
 
0.5%
255 335
 
0.5%
5 227
 
0.3%
6 166
 
0.2%
7 130
 
0.2%
9 116
 
0.2%
Other values (246) 17769
 
25.4%
ValueCountFrequency (%)
0 47312
67.6%
1 2003
 
2.9%
2 1030
 
1.5%
3 556
 
0.8%
4 356
 
0.5%
ValueCountFrequency (%)
255 335
0.5%
254 53
 
0.1%
253 50
 
0.1%
252 33
 
< 0.1%
251 45
 
0.1%

313
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.2673
Minimum0
Maximum255
Zeros39428
Zeros (%)56.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:15.356575image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3125
95-th percentile231
Maximum255
Range255
Interquartile range (IQR)125

Descriptive statistics

Standard deviation85.81502897
Coefficient of variation (CV)1.472781971
Kurtosis-0.5000600861
Mean58.2673
Median Absolute Deviation (MAD)0
Skewness1.07069262
Sum4078711
Variance7364.219197
MonotonicityNot monotonic
2025-03-23T12:50:15.497165image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 39428
56.3%
1 1717
 
2.5%
2 963
 
1.4%
255 753
 
1.1%
3 589
 
0.8%
4 347
 
0.5%
5 198
 
0.3%
200 192
 
0.3%
211 191
 
0.3%
224 187
 
0.3%
Other values (246) 25435
36.3%
ValueCountFrequency (%)
0 39428
56.3%
1 1717
 
2.5%
2 963
 
1.4%
3 589
 
0.8%
4 347
 
0.5%
ValueCountFrequency (%)
255 753
1.1%
254 123
 
0.2%
253 113
 
0.2%
252 83
 
0.1%
251 72
 
0.1%

314
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.06094286
Minimum0
Maximum255
Zeros35640
Zeros (%)50.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:15.637765image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3165
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)165

Descriptive statistics

Standard deviation91.41856715
Coefficient of variation (CV)1.286481202
Kurtosis-1.145628343
Mean71.06094286
Median Absolute Deviation (MAD)0
Skewness0.7506847555
Sum4974266
Variance8357.35442
MonotonicityNot monotonic
2025-03-23T12:50:15.778347image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35640
50.9%
1 1534
 
2.2%
2 850
 
1.2%
255 618
 
0.9%
3 478
 
0.7%
4 297
 
0.4%
220 284
 
0.4%
221 282
 
0.4%
223 272
 
0.4%
218 269
 
0.4%
Other values (246) 29476
42.1%
ValueCountFrequency (%)
0 35640
50.9%
1 1534
 
2.2%
2 850
 
1.2%
3 478
 
0.7%
4 297
 
0.4%
ValueCountFrequency (%)
255 618
0.9%
254 131
 
0.2%
253 88
 
0.1%
252 82
 
0.1%
251 70
 
0.1%

315
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.56048571
Minimum0
Maximum255
Zeros31830
Zeros (%)45.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:15.934520image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q3186
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)186

Descriptive statistics

Standard deviation95.66012864
Coefficient of variation (CV)1.144801012
Kurtosis-1.460696694
Mean83.56048571
Median Absolute Deviation (MAD)6
Skewness0.5093287456
Sum5849234
Variance9150.860211
MonotonicityNot monotonic
2025-03-23T12:50:16.075149image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31830
45.5%
1 1397
 
2.0%
255 797
 
1.1%
2 773
 
1.1%
3 434
 
0.6%
221 339
 
0.5%
226 314
 
0.4%
225 310
 
0.4%
219 309
 
0.4%
222 308
 
0.4%
Other values (246) 33189
47.4%
ValueCountFrequency (%)
0 31830
45.5%
1 1397
 
2.0%
2 773
 
1.1%
3 434
 
0.6%
4 291
 
0.4%
ValueCountFrequency (%)
255 797
1.1%
254 210
 
0.3%
253 149
 
0.2%
252 121
 
0.2%
251 141
 
0.2%

316
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.1313
Minimum0
Maximum255
Zeros26656
Zeros (%)38.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:16.215748image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median67
Q3189
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)189

Descriptive statistics

Standard deviation94.46996324
Coefficient of variation (CV)1.025384025
Kurtosis-1.547533991
Mean92.1313
Median Absolute Deviation (MAD)67
Skewness0.341822367
Sum6449191
Variance8924.573954
MonotonicityNot monotonic
2025-03-23T12:50:16.371956image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26656
38.1%
1 1640
 
2.3%
255 883
 
1.3%
2 793
 
1.1%
3 435
 
0.6%
220 343
 
0.5%
221 336
 
0.5%
216 328
 
0.5%
4 314
 
0.4%
214 312
 
0.4%
Other values (246) 37960
54.2%
ValueCountFrequency (%)
0 26656
38.1%
1 1640
 
2.3%
2 793
 
1.1%
3 435
 
0.6%
4 314
 
0.4%
ValueCountFrequency (%)
255 883
1.3%
254 212
 
0.3%
253 134
 
0.2%
252 142
 
0.2%
251 119
 
0.2%

317
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.4011571
Minimum0
Maximum255
Zeros19041
Zeros (%)27.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:16.512554image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median99
Q3190
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)190

Descriptive statistics

Standard deviation90.66061686
Coefficient of variation (CV)0.8940787207
Kurtosis-1.562157025
Mean101.4011571
Median Absolute Deviation (MAD)98
Skewness0.1533630514
Sum7098081
Variance8219.347449
MonotonicityNot monotonic
2025-03-23T12:50:16.653140image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19041
27.2%
1 2038
 
2.9%
2 998
 
1.4%
255 925
 
1.3%
3 631
 
0.9%
4 411
 
0.6%
213 374
 
0.5%
221 372
 
0.5%
217 363
 
0.5%
215 353
 
0.5%
Other values (246) 44494
63.6%
ValueCountFrequency (%)
0 19041
27.2%
1 2038
 
2.9%
2 998
 
1.4%
3 631
 
0.9%
4 411
 
0.6%
ValueCountFrequency (%)
255 925
1.3%
254 145
 
0.2%
253 105
 
0.1%
252 105
 
0.1%
251 77
 
0.1%

318
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.6129571
Minimum0
Maximum255
Zeros14279
Zeros (%)20.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:16.793730image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median131
Q3199
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)191

Descriptive statistics

Standard deviation88.04230268
Coefficient of variation (CV)0.7485765584
Kurtosis-1.489394044
Mean117.6129571
Median Absolute Deviation (MAD)80
Skewness-0.1307905784
Sum8232907
Variance7751.447061
MonotonicityNot monotonic
2025-03-23T12:50:16.935832image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14279
 
20.4%
1 1164
 
1.7%
255 1113
 
1.6%
2 693
 
1.0%
3 446
 
0.6%
213 441
 
0.6%
218 440
 
0.6%
217 438
 
0.6%
214 432
 
0.6%
227 415
 
0.6%
Other values (246) 50139
71.6%
ValueCountFrequency (%)
0 14279
20.4%
1 1164
 
1.7%
2 693
 
1.0%
3 446
 
0.6%
4 281
 
0.4%
ValueCountFrequency (%)
255 1113
1.6%
254 182
 
0.3%
253 142
 
0.2%
252 90
 
0.1%
251 99
 
0.1%

319
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.7367571
Minimum0
Maximum255
Zeros11469
Zeros (%)16.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:17.092339image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q142
median142
Q3201
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)159

Descriptive statistics

Standard deviation84.54710795
Coefficient of variation (CV)0.6778042807
Kurtosis-1.369078471
Mean124.7367571
Median Absolute Deviation (MAD)70
Skewness-0.2757822774
Sum8731573
Variance7148.213463
MonotonicityNot monotonic
2025-03-23T12:50:17.248553image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11469
 
16.4%
1 1025
 
1.5%
255 627
 
0.9%
2 609
 
0.9%
224 501
 
0.7%
222 499
 
0.7%
213 470
 
0.7%
221 469
 
0.7%
218 468
 
0.7%
219 462
 
0.7%
Other values (246) 53401
76.3%
ValueCountFrequency (%)
0 11469
16.4%
1 1025
 
1.5%
2 609
 
0.9%
3 382
 
0.5%
4 277
 
0.4%
ValueCountFrequency (%)
255 627
0.9%
254 102
 
0.1%
253 102
 
0.1%
252 68
 
0.1%
251 62
 
0.1%

320
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean133.0527
Minimum0
Maximum255
Zeros9610
Zeros (%)13.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:17.404759image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q162
median153
Q3206
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)144

Descriptive statistics

Standard deviation82.9665201
Coefficient of variation (CV)0.6235613415
Kurtosis-1.227430396
Mean133.0527
Median Absolute Deviation (MAD)64
Skewness-0.3872088237
Sum9313689
Variance6883.443458
MonotonicityNot monotonic
2025-03-23T12:50:17.545356image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9610
 
13.7%
255 1139
 
1.6%
1 671
 
1.0%
222 532
 
0.8%
224 512
 
0.7%
216 503
 
0.7%
223 501
 
0.7%
228 499
 
0.7%
220 497
 
0.7%
230 495
 
0.7%
Other values (246) 55041
78.6%
ValueCountFrequency (%)
0 9610
13.7%
1 671
 
1.0%
2 417
 
0.6%
3 286
 
0.4%
4 182
 
0.3%
ValueCountFrequency (%)
255 1139
1.6%
254 174
 
0.2%
253 138
 
0.2%
252 123
 
0.2%
251 92
 
0.1%

321
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean134.4290286
Minimum0
Maximum255
Zeros7985
Zeros (%)11.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:17.685942image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q169
median153
Q3204
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)135

Descriptive statistics

Standard deviation79.84682398
Coefficient of variation (CV)0.5939701032
Kurtosis-1.138872395
Mean134.4290286
Median Absolute Deviation (MAD)60
Skewness-0.4212216176
Sum9410032
Variance6375.515299
MonotonicityNot monotonic
2025-03-23T12:50:17.842156image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7985
 
11.4%
255 756
 
1.1%
1 556
 
0.8%
225 513
 
0.7%
213 495
 
0.7%
224 491
 
0.7%
218 476
 
0.7%
229 474
 
0.7%
219 474
 
0.7%
220 465
 
0.7%
Other values (246) 57315
81.9%
ValueCountFrequency (%)
0 7985
11.4%
1 556
 
0.8%
2 337
 
0.5%
3 240
 
0.3%
4 180
 
0.3%
ValueCountFrequency (%)
255 756
1.1%
254 125
 
0.2%
253 90
 
0.1%
252 62
 
0.1%
251 73
 
0.1%

322
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean133.9448429
Minimum0
Maximum255
Zeros8511
Zeros (%)12.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:17.982711image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q169
median153
Q3202
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)133

Descriptive statistics

Standard deviation79.19429397
Coefficient of variation (CV)0.5912455626
Kurtosis-1.123568139
Mean133.9448429
Median Absolute Deviation (MAD)59
Skewness-0.4437571323
Sum9376139
Variance6271.736197
MonotonicityNot monotonic
2025-03-23T12:50:18.123339image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8511
 
12.2%
222 510
 
0.7%
225 506
 
0.7%
217 484
 
0.7%
216 483
 
0.7%
214 482
 
0.7%
219 482
 
0.7%
211 479
 
0.7%
212 478
 
0.7%
221 476
 
0.7%
Other values (246) 57109
81.6%
ValueCountFrequency (%)
0 8511
12.2%
1 435
 
0.6%
2 260
 
0.4%
3 182
 
0.3%
4 129
 
0.2%
ValueCountFrequency (%)
255 462
0.7%
254 68
 
0.1%
253 65
 
0.1%
252 61
 
0.1%
251 48
 
0.1%

323
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean151.6233143
Minimum0
Maximum255
Zeros4453
Zeros (%)6.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:18.263936image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1102
median171
Q3211
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)109

Descriptive statistics

Standard deviation73.45222848
Coefficient of variation (CV)0.4844388795
Kurtosis-0.6189475204
Mean151.6233143
Median Absolute Deviation (MAD)48
Skewness-0.6866204881
Sum10613632
Variance5395.229868
MonotonicityNot monotonic
2025-03-23T12:50:18.451387image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4453
 
6.4%
255 1523
 
2.2%
223 555
 
0.8%
219 551
 
0.8%
222 551
 
0.8%
226 547
 
0.8%
221 546
 
0.8%
224 543
 
0.8%
217 541
 
0.8%
228 539
 
0.8%
Other values (246) 59651
85.2%
ValueCountFrequency (%)
0 4453
6.4%
1 351
 
0.5%
2 226
 
0.3%
3 137
 
0.2%
4 105
 
0.1%
ValueCountFrequency (%)
255 1523
2.2%
254 219
 
0.3%
253 175
 
0.2%
252 116
 
0.2%
251 120
 
0.2%

324
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152.6887714
Minimum0
Maximum255
Zeros4168
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:18.951235image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1106
median173
Q3210
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)104

Descriptive statistics

Standard deviation71.38009914
Coefficient of variation (CV)0.4674875465
Kurtosis-0.5008889217
Mean152.6887714
Median Absolute Deviation (MAD)45
Skewness-0.7510309011
Sum10688214
Variance5095.118553
MonotonicityNot monotonic
2025-03-23T12:50:19.091861image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4168
 
6.0%
255 823
 
1.2%
225 611
 
0.9%
219 605
 
0.9%
217 593
 
0.8%
215 588
 
0.8%
205 582
 
0.8%
224 570
 
0.8%
222 567
 
0.8%
220 566
 
0.8%
Other values (246) 60327
86.2%
ValueCountFrequency (%)
0 4168
6.0%
1 303
 
0.4%
2 182
 
0.3%
3 118
 
0.2%
4 70
 
0.1%
ValueCountFrequency (%)
255 823
1.2%
254 108
 
0.2%
253 87
 
0.1%
252 93
 
0.1%
251 98
 
0.1%

325
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152.5474571
Minimum0
Maximum255
Zeros3768
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:19.248037image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1105
median172
Q3210
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)105

Descriptive statistics

Standard deviation71.22780735
Coefficient of variation (CV)0.4669222856
Kurtosis-0.5382830553
Mean152.5474571
Median Absolute Deviation (MAD)46
Skewness-0.7257529838
Sum10678322
Variance5073.400539
MonotonicityNot monotonic
2025-03-23T12:50:19.388671image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3768
 
5.4%
255 887
 
1.3%
213 614
 
0.9%
215 608
 
0.9%
218 606
 
0.9%
227 588
 
0.8%
222 587
 
0.8%
217 586
 
0.8%
223 583
 
0.8%
226 581
 
0.8%
Other values (246) 60592
86.6%
ValueCountFrequency (%)
0 3768
5.4%
1 358
 
0.5%
2 197
 
0.3%
3 129
 
0.2%
4 89
 
0.1%
ValueCountFrequency (%)
255 887
1.3%
254 150
 
0.2%
253 109
 
0.2%
252 92
 
0.1%
251 100
 
0.1%

326
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean145.4515143
Minimum0
Maximum255
Zeros5587
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:19.529262image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q188
median166
Q3210
95-th percentile242
Maximum255
Range255
Interquartile range (IQR)122

Descriptive statistics

Standard deviation76.9277226
Coefficient of variation (CV)0.5288891145
Kurtosis-0.8879535521
Mean145.4515143
Median Absolute Deviation (MAD)53
Skewness-0.5678590647
Sum10181606
Variance5917.874504
MonotonicityNot monotonic
2025-03-23T12:50:19.685471image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5587
 
8.0%
255 1431
 
2.0%
213 567
 
0.8%
222 556
 
0.8%
221 551
 
0.8%
210 539
 
0.8%
209 536
 
0.8%
219 533
 
0.8%
206 527
 
0.8%
220 525
 
0.8%
Other values (246) 58648
83.8%
ValueCountFrequency (%)
0 5587
8.0%
1 345
 
0.5%
2 245
 
0.4%
3 138
 
0.2%
4 102
 
0.1%
ValueCountFrequency (%)
255 1431
2.0%
254 250
 
0.4%
253 166
 
0.2%
252 131
 
0.2%
251 112
 
0.2%

327
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean131.4164
Minimum0
Maximum255
Zeros10500
Zeros (%)15.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:19.820058image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q153
median152
Q3207
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)154

Descriptive statistics

Standard deviation84.53515169
Coefficient of variation (CV)0.6432618127
Kurtosis-1.306989415
Mean131.4164
Median Absolute Deviation (MAD)66
Skewness-0.3483003127
Sum9199148
Variance7146.191871
MonotonicityNot monotonic
2025-03-23T12:50:19.976272image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10500
 
15.0%
255 935
 
1.3%
219 528
 
0.8%
215 496
 
0.7%
211 495
 
0.7%
217 494
 
0.7%
223 493
 
0.7%
213 492
 
0.7%
216 485
 
0.7%
222 485
 
0.7%
Other values (246) 54597
78.0%
ValueCountFrequency (%)
0 10500
15.0%
1 378
 
0.5%
2 272
 
0.4%
3 181
 
0.3%
4 118
 
0.2%
ValueCountFrequency (%)
255 935
1.3%
254 154
 
0.2%
253 135
 
0.2%
252 135
 
0.2%
251 136
 
0.2%

328
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.8995143
Minimum0
Maximum255
Zeros16151
Zeros (%)23.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:20.116861image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median146
Q3209
95-th percentile242
Maximum255
Range255
Interquartile range (IQR)205

Descriptive statistics

Standard deviation91.55358347
Coefficient of variation (CV)0.7389341597
Kurtosis-1.524984456
Mean123.8995143
Median Absolute Deviation (MAD)76
Skewness-0.2283659105
Sum8672966
Variance8382.058646
MonotonicityNot monotonic
2025-03-23T12:50:20.273073image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16151
 
23.1%
255 1014
 
1.4%
1 609
 
0.9%
222 514
 
0.7%
220 503
 
0.7%
225 496
 
0.7%
217 493
 
0.7%
211 492
 
0.7%
226 490
 
0.7%
224 480
 
0.7%
Other values (246) 48758
69.7%
ValueCountFrequency (%)
0 16151
23.1%
1 609
 
0.9%
2 457
 
0.7%
3 239
 
0.3%
4 162
 
0.2%
ValueCountFrequency (%)
255 1014
1.4%
254 234
 
0.3%
253 154
 
0.2%
252 142
 
0.2%
251 154
 
0.2%

329
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.5376143
Minimum0
Maximum255
Zeros20384
Zeros (%)29.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:20.429295image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median128
Q3204
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)204

Descriptive statistics

Standard deviation93.66089879
Coefficient of variation (CV)0.8249327712
Kurtosis-1.633525375
Mean113.5376143
Median Absolute Deviation (MAD)93
Skewness-0.05944353749
Sum7947633
Variance8772.363962
MonotonicityNot monotonic
2025-03-23T12:50:20.569881image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20384
29.1%
255 869
 
1.2%
1 523
 
0.7%
225 480
 
0.7%
217 458
 
0.7%
222 457
 
0.7%
224 452
 
0.6%
215 446
 
0.6%
228 437
 
0.6%
212 435
 
0.6%
Other values (246) 45059
64.4%
ValueCountFrequency (%)
0 20384
29.1%
1 523
 
0.7%
2 363
 
0.5%
3 229
 
0.3%
4 148
 
0.2%
ValueCountFrequency (%)
255 869
1.2%
254 175
 
0.2%
253 125
 
0.2%
252 125
 
0.2%
251 107
 
0.2%

330
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.7338857
Minimum0
Maximum255
Zeros23381
Zeros (%)33.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:20.710475image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median101
Q3196
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)196

Descriptive statistics

Standard deviation93.33390672
Coefficient of variation (CV)0.9085016698
Kurtosis-1.624118891
Mean102.7338857
Median Absolute Deviation (MAD)101
Skewness0.1309348008
Sum7191372
Variance8711.218143
MonotonicityNot monotonic
2025-03-23T12:50:20.851066image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23381
33.4%
255 913
 
1.3%
1 532
 
0.8%
215 405
 
0.6%
211 401
 
0.6%
222 390
 
0.6%
2 382
 
0.5%
216 374
 
0.5%
219 372
 
0.5%
217 369
 
0.5%
Other values (246) 42481
60.7%
ValueCountFrequency (%)
0 23381
33.4%
1 532
 
0.8%
2 382
 
0.5%
3 262
 
0.4%
4 178
 
0.3%
ValueCountFrequency (%)
255 913
1.3%
254 134
 
0.2%
253 141
 
0.2%
252 105
 
0.1%
251 87
 
0.1%

331
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.2702
Minimum0
Maximum255
Zeros28475
Zeros (%)40.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:21.007280image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median48
Q3178
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)178

Descriptive statistics

Standard deviation90.93432061
Coefficient of variation (CV)1.066425558
Kurtosis-1.455783888
Mean85.2702
Median Absolute Deviation (MAD)48
Skewness0.4408832766
Sum5968914
Variance8269.050664
MonotonicityNot monotonic
2025-03-23T12:50:21.147873image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28475
40.7%
1 648
 
0.9%
255 610
 
0.9%
2 423
 
0.6%
211 338
 
0.5%
204 318
 
0.5%
201 306
 
0.4%
210 303
 
0.4%
218 303
 
0.4%
214 300
 
0.4%
Other values (246) 37976
54.3%
ValueCountFrequency (%)
0 28475
40.7%
1 648
 
0.9%
2 423
 
0.6%
3 290
 
0.4%
4 209
 
0.3%
ValueCountFrequency (%)
255 610
0.9%
254 122
 
0.2%
253 108
 
0.2%
252 79
 
0.1%
251 71
 
0.1%

332
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.05457143
Minimum0
Maximum255
Zeros37751
Zeros (%)53.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:21.304089image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3150
95-th percentile224
Maximum255
Range255
Interquartile range (IQR)150

Descriptive statistics

Standard deviation86.38815994
Coefficient of variation (CV)1.327933734
Kurtosis-0.981278412
Mean65.05457143
Median Absolute Deviation (MAD)0
Skewness0.8369146045
Sum4553820
Variance7462.914178
MonotonicityNot monotonic
2025-03-23T12:50:21.444678image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37751
53.9%
1 595
 
0.9%
2 364
 
0.5%
204 270
 
0.4%
202 262
 
0.4%
214 258
 
0.4%
195 256
 
0.4%
255 246
 
0.4%
217 244
 
0.3%
199 244
 
0.3%
Other values (246) 29510
42.2%
ValueCountFrequency (%)
0 37751
53.9%
1 595
 
0.9%
2 364
 
0.5%
3 237
 
0.3%
4 190
 
0.3%
ValueCountFrequency (%)
255 246
0.4%
254 47
 
0.1%
253 45
 
0.1%
252 42
 
0.1%
251 34
 
< 0.1%

333
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.28405714
Minimum0
Maximum255
Zeros44086
Zeros (%)63.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:21.600848image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3123
95-th percentile225
Maximum255
Range255
Interquartile range (IQR)123

Descriptive statistics

Standard deviation84.60949513
Coefficient of variation (CV)1.530450179
Kurtosis-0.4658431077
Mean55.28405714
Median Absolute Deviation (MAD)0
Skewness1.106039291
Sum3869884
Variance7158.766665
MonotonicityNot monotonic
2025-03-23T12:50:21.741481image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 44086
63.0%
1 477
 
0.7%
255 401
 
0.6%
2 291
 
0.4%
217 209
 
0.3%
222 205
 
0.3%
216 202
 
0.3%
202 200
 
0.3%
215 198
 
0.3%
214 196
 
0.3%
Other values (246) 23535
33.6%
ValueCountFrequency (%)
0 44086
63.0%
1 477
 
0.7%
2 291
 
0.4%
3 178
 
0.3%
4 143
 
0.2%
ValueCountFrequency (%)
255 401
0.6%
254 68
 
0.1%
253 51
 
0.1%
252 55
 
0.1%
251 53
 
0.1%

334
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.64871429
Minimum0
Maximum255
Zeros49862
Zeros (%)71.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:21.882068image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q319.25
95-th percentile210
Maximum255
Range255
Interquartile range (IQR)19.25

Descriptive statistics

Standard deviation70.34137776
Coefficient of variation (CV)1.973181338
Kurtosis1.979843964
Mean35.64871429
Median Absolute Deviation (MAD)0
Skewness1.841401227
Sum2495410
Variance4947.909426
MonotonicityNot monotonic
2025-03-23T12:50:22.038282image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 49862
71.2%
255 750
 
1.1%
1 537
 
0.8%
2 334
 
0.5%
3 233
 
0.3%
4 182
 
0.3%
5 155
 
0.2%
6 133
 
0.2%
183 99
 
0.1%
180 99
 
0.1%
Other values (246) 17616
 
25.2%
ValueCountFrequency (%)
0 49862
71.2%
1 537
 
0.8%
2 334
 
0.5%
3 233
 
0.3%
4 182
 
0.3%
ValueCountFrequency (%)
255 750
1.1%
254 66
 
0.1%
253 53
 
0.1%
252 51
 
0.1%
251 35
 
0.1%

335
Real number (ℝ)

Zeros 

Distinct233
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.054042857
Minimum0
Maximum255
Zeros61376
Zeros (%)87.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:22.178838image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile58
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation26.11549638
Coefficient of variation (CV)3.702202681
Kurtosis22.19860088
Mean7.054042857
Median Absolute Deviation (MAD)0
Skewness4.520077733
Sum493783
Variance682.0191511
MonotonicityNot monotonic
2025-03-23T12:50:22.335050image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 61376
87.7%
1 726
 
1.0%
2 371
 
0.5%
3 233
 
0.3%
4 176
 
0.3%
5 119
 
0.2%
6 98
 
0.1%
41 89
 
0.1%
12 83
 
0.1%
8 82
 
0.1%
Other values (223) 6647
 
9.5%
ValueCountFrequency (%)
0 61376
87.7%
1 726
 
1.0%
2 371
 
0.5%
3 233
 
0.3%
4 176
 
0.3%
ValueCountFrequency (%)
255 5
< 0.1%
254 1
 
< 0.1%
246 1
 
< 0.1%
243 1
 
< 0.1%
239 1
 
< 0.1%

336
Real number (ℝ)

Zeros 

Distinct224
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.293671429
Minimum0
Maximum255
Zeros63804
Zeros (%)91.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:22.475683image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.93208794
Coefficient of variation (CV)6.946107337
Kurtosis81.03288726
Mean2.293671429
Median Absolute Deviation (MAD)0
Skewness8.5900934
Sum160557
Variance253.8314261
MonotonicityNot monotonic
2025-03-23T12:50:22.631893image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63804
91.1%
1 2774
 
4.0%
2 856
 
1.2%
3 367
 
0.5%
4 186
 
0.3%
5 100
 
0.1%
6 61
 
0.1%
8 36
 
0.1%
7 31
 
< 0.1%
16 23
 
< 0.1%
Other values (214) 1762
 
2.5%
ValueCountFrequency (%)
0 63804
91.1%
1 2774
 
4.0%
2 856
 
1.2%
3 367
 
0.5%
4 186
 
0.3%
ValueCountFrequency (%)
255 2
< 0.1%
250 1
< 0.1%
246 1
< 0.1%
245 1
< 0.1%
239 1
< 0.1%

337
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.918785714
Minimum0
Maximum255
Zeros62466
Zeros (%)89.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:22.788106image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation34.00030196
Coefficient of variation (CV)4.914200751
Kurtosis29.70940049
Mean6.918785714
Median Absolute Deviation (MAD)0
Skewness5.436181392
Sum484315
Variance1156.020533
MonotonicityNot monotonic
2025-03-23T12:50:22.928661image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62466
89.2%
1 1986
 
2.8%
2 840
 
1.2%
3 510
 
0.7%
4 282
 
0.4%
5 195
 
0.3%
255 159
 
0.2%
6 86
 
0.1%
7 70
 
0.1%
8 49
 
0.1%
Other values (246) 3357
 
4.8%
ValueCountFrequency (%)
0 62466
89.2%
1 1986
 
2.8%
2 840
 
1.2%
3 510
 
0.7%
4 282
 
0.4%
ValueCountFrequency (%)
255 159
0.2%
254 15
 
< 0.1%
253 12
 
< 0.1%
252 10
 
< 0.1%
251 6
 
< 0.1%

338
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.759242857
Minimum0
Maximum255
Zeros60343
Zeros (%)86.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:23.084874image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile84
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation39.54821065
Coefficient of variation (CV)4.052385131
Kurtosis18.57650646
Mean9.759242857
Median Absolute Deviation (MAD)0
Skewness4.378086706
Sum683147
Variance1564.060965
MonotonicityNot monotonic
2025-03-23T12:50:23.225520image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60343
86.2%
1 2218
 
3.2%
2 970
 
1.4%
3 576
 
0.8%
4 348
 
0.5%
5 237
 
0.3%
6 121
 
0.2%
7 112
 
0.2%
255 67
 
0.1%
8 64
 
0.1%
Other values (246) 4944
 
7.1%
ValueCountFrequency (%)
0 60343
86.2%
1 2218
 
3.2%
2 970
 
1.4%
3 576
 
0.8%
4 348
 
0.5%
ValueCountFrequency (%)
255 67
0.1%
254 10
 
< 0.1%
253 11
 
< 0.1%
252 9
 
< 0.1%
251 5
 
< 0.1%

339
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.51478571
Minimum0
Maximum255
Zeros55550
Zeros (%)79.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:23.381720image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile168
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation51.61720104
Coefficient of variation (CV)2.947064377
Kurtosis8.517963485
Mean17.51478571
Median Absolute Deviation (MAD)0
Skewness3.096364873
Sum1226035
Variance2664.335443
MonotonicityNot monotonic
2025-03-23T12:50:23.522312image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55550
79.4%
1 2191
 
3.1%
2 1131
 
1.6%
3 639
 
0.9%
4 416
 
0.6%
5 296
 
0.4%
6 162
 
0.2%
255 145
 
0.2%
7 98
 
0.1%
8 89
 
0.1%
Other values (246) 9283
 
13.3%
ValueCountFrequency (%)
0 55550
79.4%
1 2191
 
3.1%
2 1131
 
1.6%
3 639
 
0.9%
4 416
 
0.6%
ValueCountFrequency (%)
255 145
0.2%
254 30
 
< 0.1%
253 22
 
< 0.1%
252 11
 
< 0.1%
251 20
 
< 0.1%

340
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.35338571
Minimum0
Maximum255
Zeros44206
Zeros (%)63.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:23.678483image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q318
95-th percentile212
Maximum255
Range255
Interquartile range (IQR)18

Descriptive statistics

Standard deviation69.88850935
Coefficient of variation (CV)1.976854775
Kurtosis2.01894078
Mean35.35338571
Median Absolute Deviation (MAD)0
Skewness1.862616983
Sum2474737
Variance4884.403739
MonotonicityNot monotonic
2025-03-23T12:50:23.819114image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 44206
63.2%
1 2995
 
4.3%
2 1597
 
2.3%
3 982
 
1.4%
4 614
 
0.9%
5 453
 
0.6%
255 387
 
0.6%
6 271
 
0.4%
7 185
 
0.3%
8 175
 
0.2%
Other values (246) 18135
25.9%
ValueCountFrequency (%)
0 44206
63.2%
1 2995
 
4.3%
2 1597
 
2.3%
3 982
 
1.4%
4 614
 
0.9%
ValueCountFrequency (%)
255 387
0.6%
254 72
 
0.1%
253 54
 
0.1%
252 48
 
0.1%
251 30
 
< 0.1%

341
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.07612857
Minimum0
Maximum255
Zeros37851
Zeros (%)54.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:23.959708image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3123
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)123

Descriptive statistics

Standard deviation86.05337783
Coefficient of variation (CV)1.481734061
Kurtosis-0.4702768491
Mean58.07612857
Median Absolute Deviation (MAD)0
Skewness1.086524293
Sum4065329
Variance7405.183836
MonotonicityNot monotonic
2025-03-23T12:50:24.115916image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37851
54.1%
1 2314
 
3.3%
2 1282
 
1.8%
255 815
 
1.2%
3 802
 
1.1%
4 523
 
0.7%
5 362
 
0.5%
6 257
 
0.4%
7 190
 
0.3%
222 190
 
0.3%
Other values (246) 25414
36.3%
ValueCountFrequency (%)
0 37851
54.1%
1 2314
 
3.3%
2 1282
 
1.8%
3 802
 
1.1%
4 523
 
0.7%
ValueCountFrequency (%)
255 815
1.2%
254 148
 
0.2%
253 117
 
0.2%
252 99
 
0.1%
251 73
 
0.1%

342
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.82757143
Minimum0
Maximum255
Zeros34680
Zeros (%)49.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:24.256509image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q3164
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)164

Descriptive statistics

Standard deviation91.14858144
Coefficient of variation (CV)1.286908186
Kurtosis-1.120682773
Mean70.82757143
Median Absolute Deviation (MAD)1
Skewness0.7623804197
Sum4957930
Variance8308.063898
MonotonicityNot monotonic
2025-03-23T12:50:24.397106image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34680
49.5%
1 1765
 
2.5%
2 911
 
1.3%
255 683
 
1.0%
3 556
 
0.8%
4 352
 
0.5%
218 280
 
0.4%
219 275
 
0.4%
221 268
 
0.4%
217 259
 
0.4%
Other values (246) 29971
42.8%
ValueCountFrequency (%)
0 34680
49.5%
1 1765
 
2.5%
2 911
 
1.3%
3 556
 
0.8%
4 352
 
0.5%
ValueCountFrequency (%)
255 683
1.0%
254 124
 
0.2%
253 87
 
0.1%
252 92
 
0.1%
251 73
 
0.1%

343
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.10755714
Minimum0
Maximum255
Zeros29810
Zeros (%)42.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:24.912569image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median24
Q3184
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)184

Descriptive statistics

Standard deviation94.71053277
Coefficient of variation (CV)1.126064482
Kurtosis-1.434585654
Mean84.10755714
Median Absolute Deviation (MAD)24
Skewness0.5089924547
Sum5887529
Variance8970.085018
MonotonicityNot monotonic
2025-03-23T12:50:25.115682image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29810
42.6%
1 1621
 
2.3%
255 971
 
1.4%
2 860
 
1.2%
3 447
 
0.6%
225 325
 
0.5%
220 323
 
0.5%
4 315
 
0.4%
223 301
 
0.4%
224 294
 
0.4%
Other values (246) 34733
49.6%
ValueCountFrequency (%)
0 29810
42.6%
1 1621
 
2.3%
2 860
 
1.2%
3 447
 
0.6%
4 315
 
0.4%
ValueCountFrequency (%)
255 971
1.4%
254 210
 
0.3%
253 123
 
0.2%
252 137
 
0.2%
251 121
 
0.2%

344
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.0504
Minimum0
Maximum255
Zeros22434
Zeros (%)32.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:25.271900image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median82
Q3189
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)189

Descriptive statistics

Standard deviation92.74540203
Coefficient of variation (CV)0.9655910026
Kurtosis-1.539429973
Mean96.0504
Median Absolute Deviation (MAD)82
Skewness0.2769694273
Sum6723528
Variance8601.709599
MonotonicityNot monotonic
2025-03-23T12:50:25.412486image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22434
32.0%
1 1918
 
2.7%
2 976
 
1.4%
255 913
 
1.3%
3 541
 
0.8%
4 362
 
0.5%
224 344
 
0.5%
225 332
 
0.5%
227 326
 
0.5%
229 318
 
0.5%
Other values (246) 41536
59.3%
ValueCountFrequency (%)
0 22434
32.0%
1 1918
 
2.7%
2 976
 
1.4%
3 541
 
0.8%
4 362
 
0.5%
ValueCountFrequency (%)
255 913
1.3%
254 211
 
0.3%
253 151
 
0.2%
252 139
 
0.2%
251 126
 
0.2%

345
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.2085
Minimum0
Maximum255
Zeros13660
Zeros (%)19.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:25.568702image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median116
Q3194
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)190

Descriptive statistics

Standard deviation88.51209799
Coefficient of variation (CV)0.8031331339
Kurtosis-1.520911838
Mean110.2085
Median Absolute Deviation (MAD)90
Skewness0.01239789673
Sum7714595
Variance7834.39149
MonotonicityNot monotonic
2025-03-23T12:50:25.724917image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13660
 
19.5%
1 1908
 
2.7%
2 1120
 
1.6%
255 1035
 
1.5%
3 784
 
1.1%
4 571
 
0.8%
5 418
 
0.6%
217 381
 
0.5%
223 380
 
0.5%
207 371
 
0.5%
Other values (246) 49372
70.5%
ValueCountFrequency (%)
0 13660
19.5%
1 1908
 
2.7%
2 1120
 
1.6%
3 784
 
1.1%
4 571
 
0.8%
ValueCountFrequency (%)
255 1035
1.5%
254 165
 
0.2%
253 145
 
0.2%
252 88
 
0.1%
251 71
 
0.1%

346
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.5181857
Minimum0
Maximum255
Zeros10160
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:25.865503image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q150
median147
Q3204
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)154

Descriptive statistics

Standard deviation84.68930537
Coefficient of variation (CV)0.6589674831
Kurtosis-1.312422013
Mean128.5181857
Median Absolute Deviation (MAD)67
Skewness-0.3131422924
Sum8996273
Variance7172.278445
MonotonicityNot monotonic
2025-03-23T12:50:26.021722image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10160
 
14.5%
255 1321
 
1.9%
1 1048
 
1.5%
2 682
 
1.0%
3 488
 
0.7%
220 475
 
0.7%
213 465
 
0.7%
225 459
 
0.7%
221 456
 
0.7%
224 449
 
0.6%
Other values (246) 53997
77.1%
ValueCountFrequency (%)
0 10160
14.5%
1 1048
 
1.5%
2 682
 
1.0%
3 488
 
0.7%
4 394
 
0.6%
ValueCountFrequency (%)
255 1321
1.9%
254 180
 
0.3%
253 146
 
0.2%
252 110
 
0.2%
251 115
 
0.2%

347
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean133.5467714
Minimum0
Maximum255
Zeros8808
Zeros (%)12.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:26.177933image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q166
median153
Q3205
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)139

Descriptive statistics

Standard deviation81.38814839
Coefficient of variation (CV)0.6094355372
Kurtosis-1.173865594
Mean133.5467714
Median Absolute Deviation (MAD)61
Skewness-0.4300381887
Sum9348274
Variance6624.030699
MonotonicityNot monotonic
2025-03-23T12:50:26.318525image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8808
 
12.6%
1 853
 
1.2%
255 671
 
1.0%
2 579
 
0.8%
218 526
 
0.8%
223 516
 
0.7%
216 509
 
0.7%
219 503
 
0.7%
220 500
 
0.7%
224 498
 
0.7%
Other values (246) 56037
80.1%
ValueCountFrequency (%)
0 8808
12.6%
1 853
 
1.2%
2 579
 
0.8%
3 345
 
0.5%
4 217
 
0.3%
ValueCountFrequency (%)
255 671
1.0%
254 125
 
0.2%
253 99
 
0.1%
252 78
 
0.1%
251 75
 
0.1%

348
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.5663286
Minimum0
Maximum255
Zeros7491
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:26.474699image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q178
median159
Q3208
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)130

Descriptive statistics

Standard deviation79.61303162
Coefficient of variation (CV)0.5704315105
Kurtosis-1.036183199
Mean139.5663286
Median Absolute Deviation (MAD)58
Skewness-0.4977397799
Sum9769643
Variance6338.234804
MonotonicityNot monotonic
2025-03-23T12:50:26.615328image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7491
 
10.7%
255 1182
 
1.7%
1 588
 
0.8%
220 549
 
0.8%
222 532
 
0.8%
224 529
 
0.8%
227 516
 
0.7%
219 503
 
0.7%
225 503
 
0.7%
226 502
 
0.7%
Other values (246) 57105
81.6%
ValueCountFrequency (%)
0 7491
10.7%
1 588
 
0.8%
2 335
 
0.5%
3 204
 
0.3%
4 163
 
0.2%
ValueCountFrequency (%)
255 1182
1.7%
254 167
 
0.2%
253 123
 
0.2%
252 108
 
0.2%
251 112
 
0.2%

349
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean138.1709143
Minimum0
Maximum255
Zeros6870
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:26.755923image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q178
median157
Q3205
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)127

Descriptive statistics

Standard deviation77.80106868
Coefficient of variation (CV)0.5630784821
Kurtosis-1.023730352
Mean138.1709143
Median Absolute Deviation (MAD)57
Skewness-0.4900394167
Sum9671964
Variance6053.006288
MonotonicityNot monotonic
2025-03-23T12:50:26.912130image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6870
 
9.8%
255 701
 
1.0%
221 537
 
0.8%
218 513
 
0.7%
1 512
 
0.7%
225 493
 
0.7%
223 488
 
0.7%
214 487
 
0.7%
228 486
 
0.7%
230 485
 
0.7%
Other values (246) 58428
83.5%
ValueCountFrequency (%)
0 6870
9.8%
1 512
 
0.7%
2 336
 
0.5%
3 202
 
0.3%
4 160
 
0.2%
ValueCountFrequency (%)
255 701
1.0%
254 123
 
0.2%
253 91
 
0.1%
252 76
 
0.1%
251 71
 
0.1%

350
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean136.7402
Minimum0
Maximum255
Zeros8267
Zeros (%)11.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:27.052727image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q175
median157
Q3204
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)129

Descriptive statistics

Standard deviation78.66898482
Coefficient of variation (CV)0.5753171695
Kurtosis-1.051530883
Mean136.7402
Median Absolute Deviation (MAD)57
Skewness-0.502028546
Sum9571814
Variance6188.809173
MonotonicityNot monotonic
2025-03-23T12:50:27.193321image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8267
 
11.8%
225 512
 
0.7%
208 506
 
0.7%
228 502
 
0.7%
222 501
 
0.7%
209 500
 
0.7%
216 499
 
0.7%
255 492
 
0.7%
215 489
 
0.7%
220 489
 
0.7%
Other values (246) 57243
81.8%
ValueCountFrequency (%)
0 8267
11.8%
1 446
 
0.6%
2 244
 
0.3%
3 154
 
0.2%
4 126
 
0.2%
ValueCountFrequency (%)
255 492
0.7%
254 73
 
0.1%
253 58
 
0.1%
252 69
 
0.1%
251 55
 
0.1%

351
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153.2684429
Minimum0
Maximum255
Zeros4250
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:27.349533image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1106
median173
Q3212
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)106

Descriptive statistics

Standard deviation72.56429585
Coefficient of variation (CV)0.4734457694
Kurtosis-0.5453843241
Mean153.2684429
Median Absolute Deviation (MAD)47
Skewness-0.724473135
Sum10728791
Variance5265.577032
MonotonicityNot monotonic
2025-03-23T12:50:27.490125image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4250
 
6.1%
255 1415
 
2.0%
228 596
 
0.9%
216 594
 
0.8%
219 590
 
0.8%
225 580
 
0.8%
220 572
 
0.8%
226 571
 
0.8%
224 568
 
0.8%
227 562
 
0.8%
Other values (246) 59702
85.3%
ValueCountFrequency (%)
0 4250
6.1%
1 368
 
0.5%
2 203
 
0.3%
3 115
 
0.2%
4 106
 
0.2%
ValueCountFrequency (%)
255 1415
2.0%
254 165
 
0.2%
253 144
 
0.2%
252 116
 
0.2%
251 94
 
0.1%

352
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.8137286
Minimum0
Maximum255
Zeros3885
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:27.630718image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1110
median175
Q3211
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)101

Descriptive statistics

Standard deviation70.70378341
Coefficient of variation (CV)0.4567022839
Kurtosis-0.4168307673
Mean154.8137286
Median Absolute Deviation (MAD)44
Skewness-0.7946787102
Sum10836961
Variance4999.024989
MonotonicityNot monotonic
2025-03-23T12:50:27.786927image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3885
 
5.5%
255 721
 
1.0%
213 643
 
0.9%
224 622
 
0.9%
222 619
 
0.9%
214 608
 
0.9%
219 605
 
0.9%
216 603
 
0.9%
221 590
 
0.8%
217 590
 
0.8%
Other values (246) 60514
86.4%
ValueCountFrequency (%)
0 3885
5.5%
1 311
 
0.4%
2 206
 
0.3%
3 112
 
0.2%
4 93
 
0.1%
ValueCountFrequency (%)
255 721
1.0%
254 121
 
0.2%
253 104
 
0.1%
252 98
 
0.1%
251 91
 
0.1%

353
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.8265714
Minimum0
Maximum255
Zeros3511
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:27.927520image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1109
median175
Q3212
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)103

Descriptive statistics

Standard deviation70.53351195
Coefficient of variation (CV)0.4555646444
Kurtosis-0.4546549465
Mean154.8265714
Median Absolute Deviation (MAD)44
Skewness-0.7691247842
Sum10837860
Variance4974.976308
MonotonicityNot monotonic
2025-03-23T12:50:28.083731image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3511
 
5.0%
255 839
 
1.2%
222 656
 
0.9%
217 643
 
0.9%
223 640
 
0.9%
216 632
 
0.9%
219 628
 
0.9%
221 626
 
0.9%
228 610
 
0.9%
213 602
 
0.9%
Other values (246) 60613
86.6%
ValueCountFrequency (%)
0 3511
5.0%
1 326
 
0.5%
2 204
 
0.3%
3 144
 
0.2%
4 94
 
0.1%
ValueCountFrequency (%)
255 839
1.2%
254 154
 
0.2%
253 104
 
0.1%
252 89
 
0.1%
251 90
 
0.1%

354
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean149.9942714
Minimum0
Maximum255
Zeros4557
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:28.224289image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q196
median171
Q3211
95-th percentile242
Maximum255
Range255
Interquartile range (IQR)115

Descriptive statistics

Standard deviation74.95875833
Coefficient of variation (CV)0.499744141
Kurtosis-0.7453361759
Mean149.9942714
Median Absolute Deviation (MAD)49
Skewness-0.641782637
Sum10499599
Variance5618.81545
MonotonicityNot monotonic
2025-03-23T12:50:28.380536image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4557
 
6.5%
255 1494
 
2.1%
217 586
 
0.8%
223 578
 
0.8%
219 576
 
0.8%
211 575
 
0.8%
210 574
 
0.8%
208 567
 
0.8%
218 563
 
0.8%
215 560
 
0.8%
Other values (246) 59370
84.8%
ValueCountFrequency (%)
0 4557
6.5%
1 300
 
0.4%
2 240
 
0.3%
3 146
 
0.2%
4 111
 
0.2%
ValueCountFrequency (%)
255 1494
2.1%
254 256
 
0.4%
253 199
 
0.3%
252 134
 
0.2%
251 132
 
0.2%

355
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135.8110286
Minimum0
Maximum255
Zeros9468
Zeros (%)13.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:28.521134image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q163
median158
Q3209
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)146

Descriptive statistics

Standard deviation83.46667059
Coefficient of variation (CV)0.6145794747
Kurtosis-1.219084832
Mean135.8110286
Median Absolute Deviation (MAD)61
Skewness-0.427277032
Sum9506772
Variance6966.6851
MonotonicityNot monotonic
2025-03-23T12:50:28.661719image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9468
 
13.5%
255 1058
 
1.5%
215 553
 
0.8%
218 531
 
0.8%
219 524
 
0.7%
221 521
 
0.7%
222 513
 
0.7%
207 511
 
0.7%
224 508
 
0.7%
216 508
 
0.7%
Other values (246) 55305
79.0%
ValueCountFrequency (%)
0 9468
13.5%
1 334
 
0.5%
2 249
 
0.4%
3 177
 
0.3%
4 147
 
0.2%
ValueCountFrequency (%)
255 1058
1.5%
254 165
 
0.2%
253 138
 
0.2%
252 145
 
0.2%
251 108
 
0.2%

356
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.1925571
Minimum0
Maximum255
Zeros14545
Zeros (%)20.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:28.812197image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q125
median154
Q3211
95-th percentile244
Maximum255
Range255
Interquartile range (IQR)186

Descriptive statistics

Standard deviation90.23420667
Coefficient of variation (CV)0.698447408
Kurtosis-1.441298083
Mean129.1925571
Median Absolute Deviation (MAD)70
Skewness-0.3156033865
Sum9043479
Variance8142.212053
MonotonicityNot monotonic
2025-03-23T12:50:28.968415image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14545
 
20.8%
255 1212
 
1.7%
228 532
 
0.8%
1 522
 
0.7%
213 515
 
0.7%
220 514
 
0.7%
219 510
 
0.7%
221 510
 
0.7%
218 506
 
0.7%
225 506
 
0.7%
Other values (246) 50128
71.6%
ValueCountFrequency (%)
0 14545
20.8%
1 522
 
0.7%
2 386
 
0.6%
3 214
 
0.3%
4 137
 
0.2%
ValueCountFrequency (%)
255 1212
1.7%
254 275
 
0.4%
253 164
 
0.2%
252 185
 
0.3%
251 155
 
0.2%

357
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.5458571
Minimum0
Maximum255
Zeros18766
Zeros (%)26.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:29.109001image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median139
Q3207
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)207

Descriptive statistics

Standard deviation93.34209091
Coefficient of variation (CV)0.7873922646
Kurtosis-1.598853059
Mean118.5458571
Median Absolute Deviation (MAD)84
Skewness-0.141991972
Sum8298210
Variance8712.745936
MonotonicityNot monotonic
2025-03-23T12:50:29.265214image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18766
26.8%
255 1142
 
1.6%
1 591
 
0.8%
227 491
 
0.7%
221 471
 
0.7%
211 459
 
0.7%
213 456
 
0.7%
228 455
 
0.7%
224 453
 
0.6%
219 451
 
0.6%
Other values (246) 46265
66.1%
ValueCountFrequency (%)
0 18766
26.8%
1 591
 
0.8%
2 445
 
0.6%
3 263
 
0.4%
4 179
 
0.3%
ValueCountFrequency (%)
255 1142
1.6%
254 192
 
0.3%
253 151
 
0.2%
252 145
 
0.2%
251 118
 
0.2%

358
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.4711714
Minimum0
Maximum255
Zeros21979
Zeros (%)31.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:29.405770image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median114
Q3199
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)199

Descriptive statistics

Standard deviation93.74352181
Coefficient of variation (CV)0.8722666792
Kurtosis-1.63718573
Mean107.4711714
Median Absolute Deviation (MAD)104
Skewness0.04630960329
Sum7522982
Variance8787.847881
MonotonicityNot monotonic
2025-03-23T12:50:29.562019image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21979
31.4%
255 1056
 
1.5%
1 698
 
1.0%
220 430
 
0.6%
2 421
 
0.6%
216 406
 
0.6%
207 403
 
0.6%
225 400
 
0.6%
210 393
 
0.6%
223 392
 
0.6%
Other values (246) 43422
62.0%
ValueCountFrequency (%)
0 21979
31.4%
1 698
 
1.0%
2 421
 
0.6%
3 364
 
0.5%
4 226
 
0.3%
ValueCountFrequency (%)
255 1056
1.5%
254 187
 
0.3%
253 163
 
0.2%
252 117
 
0.2%
251 98
 
0.1%

359
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.24605714
Minimum0
Maximum255
Zeros27040
Zeros (%)38.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:29.702576image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median63
Q3185
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)185

Descriptive statistics

Standard deviation92.36506121
Coefficient of variation (CV)1.023480295
Kurtosis-1.533431415
Mean90.24605714
Median Absolute Deviation (MAD)63
Skewness0.3517179262
Sum6317224
Variance8531.304532
MonotonicityNot monotonic
2025-03-23T12:50:29.858825image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27040
38.6%
1 776
 
1.1%
255 719
 
1.0%
2 546
 
0.8%
3 341
 
0.5%
220 328
 
0.5%
216 328
 
0.5%
206 327
 
0.5%
213 327
 
0.5%
204 320
 
0.5%
Other values (246) 38948
55.6%
ValueCountFrequency (%)
0 27040
38.6%
1 776
 
1.1%
2 546
 
0.8%
3 341
 
0.5%
4 248
 
0.4%
ValueCountFrequency (%)
255 719
1.0%
254 151
 
0.2%
253 126
 
0.2%
252 116
 
0.2%
251 81
 
0.1%

360
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.30477143
Minimum0
Maximum255
Zeros36672
Zeros (%)52.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:29.999418image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3159
95-th percentile225
Maximum255
Range255
Interquartile range (IQR)159

Descriptive statistics

Standard deviation88.04203553
Coefficient of variation (CV)1.28895879
Kurtosis-1.124546178
Mean68.30477143
Median Absolute Deviation (MAD)0
Skewness0.7613676371
Sum4781334
Variance7751.40002
MonotonicityNot monotonic
2025-03-23T12:50:30.514918image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36672
52.4%
1 703
 
1.0%
2 429
 
0.6%
204 301
 
0.4%
3 298
 
0.4%
205 288
 
0.4%
210 278
 
0.4%
202 276
 
0.4%
206 269
 
0.4%
209 268
 
0.4%
Other values (246) 30218
43.2%
ValueCountFrequency (%)
0 36672
52.4%
1 703
 
1.0%
2 429
 
0.6%
3 298
 
0.4%
4 180
 
0.3%
ValueCountFrequency (%)
255 265
0.4%
254 41
 
0.1%
253 39
 
0.1%
252 34
 
< 0.1%
251 37
 
0.1%

361
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.9657
Minimum0
Maximum255
Zeros43660
Zeros (%)62.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:30.655515image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3136
95-th percentile225
Maximum255
Range255
Interquartile range (IQR)136

Descriptive statistics

Standard deviation86.59469179
Coefficient of variation (CV)1.493895386
Kurtosis-0.6622753207
Mean57.9657
Median Absolute Deviation (MAD)0
Skewness1.029802767
Sum4057599
Variance7498.640647
MonotonicityNot monotonic
2025-03-23T12:50:30.811726image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43660
62.4%
1 538
 
0.8%
255 397
 
0.6%
2 303
 
0.4%
210 252
 
0.4%
209 241
 
0.3%
204 237
 
0.3%
215 234
 
0.3%
205 234
 
0.3%
221 233
 
0.3%
Other values (246) 23671
33.8%
ValueCountFrequency (%)
0 43660
62.4%
1 538
 
0.8%
2 303
 
0.4%
3 197
 
0.3%
4 115
 
0.2%
ValueCountFrequency (%)
255 397
0.6%
254 66
 
0.1%
253 58
 
0.1%
252 47
 
0.1%
251 46
 
0.1%

362
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.63335714
Minimum0
Maximum255
Zeros48616
Zeros (%)69.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:30.952322image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q344
95-th percentile223
Maximum255
Range255
Interquartile range (IQR)44

Descriptive statistics

Standard deviation76.48719084
Coefficient of variation (CV)1.837161259
Kurtosis1.035603854
Mean41.63335714
Median Absolute Deviation (MAD)0
Skewness1.60432662
Sum2914335
Variance5850.290363
MonotonicityNot monotonic
2025-03-23T12:50:31.092871image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 48616
69.5%
255 952
 
1.4%
1 527
 
0.8%
2 303
 
0.4%
3 216
 
0.3%
4 150
 
0.2%
221 125
 
0.2%
197 121
 
0.2%
230 120
 
0.2%
170 117
 
0.2%
Other values (246) 18753
 
26.8%
ValueCountFrequency (%)
0 48616
69.5%
1 527
 
0.8%
2 303
 
0.4%
3 216
 
0.3%
4 150
 
0.2%
ValueCountFrequency (%)
255 952
1.4%
254 108
 
0.2%
253 63
 
0.1%
252 62
 
0.1%
251 47
 
0.1%

363
Real number (ℝ)

Zeros 

Distinct236
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.525071429
Minimum0
Maximum250
Zeros59626
Zeros (%)85.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:31.249127image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile71
Maximum250
Range250
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28.1342708
Coefficient of variation (CV)3.300180067
Kurtosis16.8656562
Mean8.525071429
Median Absolute Deviation (MAD)0
Skewness3.979729215
Sum596755
Variance791.5371934
MonotonicityNot monotonic
2025-03-23T12:50:31.389676image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59626
85.2%
1 751
 
1.1%
2 378
 
0.5%
3 238
 
0.3%
4 157
 
0.2%
5 125
 
0.2%
24 115
 
0.2%
10 114
 
0.2%
12 113
 
0.2%
6 112
 
0.2%
Other values (226) 8271
 
11.8%
ValueCountFrequency (%)
0 59626
85.2%
1 751
 
1.1%
2 378
 
0.5%
3 238
 
0.3%
4 157
 
0.2%
ValueCountFrequency (%)
250 1
< 0.1%
247 1
< 0.1%
246 1
< 0.1%
239 1
< 0.1%
234 1
< 0.1%

364
Real number (ℝ)

Zeros 

Distinct233
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.667471429
Minimum0
Maximum255
Zeros64289
Zeros (%)91.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:31.545926image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.49587496
Coefficient of variation (CV)6.558973705
Kurtosis69.07329812
Mean2.667471429
Median Absolute Deviation (MAD)0
Skewness7.9608032
Sum186723
Variance306.1056405
MonotonicityNot monotonic
2025-03-23T12:50:31.702159image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64289
91.8%
1 2280
 
3.3%
2 731
 
1.0%
3 307
 
0.4%
4 141
 
0.2%
5 70
 
0.1%
6 52
 
0.1%
7 43
 
0.1%
14 32
 
< 0.1%
8 28
 
< 0.1%
Other values (223) 2027
 
2.9%
ValueCountFrequency (%)
0 64289
91.8%
1 2280
 
3.3%
2 731
 
1.0%
3 307
 
0.4%
4 141
 
0.2%
ValueCountFrequency (%)
255 1
< 0.1%
254 1
< 0.1%
244 1
< 0.1%
243 1
< 0.1%
238 1
< 0.1%

365
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.855085714
Minimum0
Maximum255
Zeros62148
Zeros (%)88.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:31.842694image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile36.05
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation35.94266742
Coefficient of variation (CV)4.575719314
Kurtosis25.78089532
Mean7.855085714
Median Absolute Deviation (MAD)0
Skewness5.077742863
Sum549856
Variance1291.875341
MonotonicityNot monotonic
2025-03-23T12:50:31.998949image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62148
88.8%
1 1715
 
2.5%
2 778
 
1.1%
3 478
 
0.7%
4 276
 
0.4%
5 198
 
0.3%
255 167
 
0.2%
6 101
 
0.1%
7 70
 
0.1%
8 51
 
0.1%
Other values (246) 4018
 
5.7%
ValueCountFrequency (%)
0 62148
88.8%
1 1715
 
2.5%
2 778
 
1.1%
3 478
 
0.7%
4 276
 
0.4%
ValueCountFrequency (%)
255 167
0.2%
254 18
 
< 0.1%
253 9
 
< 0.1%
252 5
 
< 0.1%
251 11
 
< 0.1%

366
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.96704286
Minimum0
Maximum255
Zeros59993
Zeros (%)85.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:32.139498image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile105
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation41.43152898
Coefficient of variation (CV)3.77782138
Kurtosis16.19219398
Mean10.96704286
Median Absolute Deviation (MAD)0
Skewness4.100769511
Sum767693
Variance1716.571593
MonotonicityNot monotonic
2025-03-23T12:50:32.295712image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59993
85.7%
1 1722
 
2.5%
2 869
 
1.2%
3 547
 
0.8%
4 349
 
0.5%
5 230
 
0.3%
6 145
 
0.2%
7 92
 
0.1%
255 80
 
0.1%
9 76
 
0.1%
Other values (246) 5897
 
8.4%
ValueCountFrequency (%)
0 59993
85.7%
1 1722
 
2.5%
2 869
 
1.2%
3 547
 
0.8%
4 349
 
0.5%
ValueCountFrequency (%)
255 80
0.1%
254 10
 
< 0.1%
253 16
 
< 0.1%
252 7
 
< 0.1%
251 9
 
< 0.1%

367
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.33418571
Minimum0
Maximum255
Zeros54761
Zeros (%)78.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:32.451967image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile176
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation53.59345611
Coefficient of variation (CV)2.771953104
Kurtosis7.409203554
Mean19.33418571
Median Absolute Deviation (MAD)0
Skewness2.915501371
Sum1353393
Variance2872.258538
MonotonicityNot monotonic
2025-03-23T12:50:32.592555image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54761
78.2%
1 1884
 
2.7%
2 904
 
1.3%
3 574
 
0.8%
4 388
 
0.6%
5 243
 
0.3%
255 179
 
0.3%
6 169
 
0.2%
7 124
 
0.2%
8 123
 
0.2%
Other values (246) 10651
 
15.2%
ValueCountFrequency (%)
0 54761
78.2%
1 1884
 
2.7%
2 904
 
1.3%
3 574
 
0.8%
4 388
 
0.6%
ValueCountFrequency (%)
255 179
0.3%
254 36
 
0.1%
253 19
 
< 0.1%
252 20
 
< 0.1%
251 21
 
< 0.1%

368
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.6342
Minimum0
Maximum255
Zeros43704
Zeros (%)62.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:32.748773image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q340
95-th percentile215
Maximum255
Range255
Interquartile range (IQR)40

Descriptive statistics

Standard deviation71.76986039
Coefficient of variation (CV)1.857676887
Kurtosis1.540078869
Mean38.6342
Median Absolute Deviation (MAD)0
Skewness1.727284299
Sum2704394
Variance5150.912861
MonotonicityNot monotonic
2025-03-23T12:50:32.889366image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43704
62.4%
1 2192
 
3.1%
2 1207
 
1.7%
3 732
 
1.0%
4 468
 
0.7%
255 458
 
0.7%
5 308
 
0.4%
6 246
 
0.4%
7 207
 
0.3%
8 161
 
0.2%
Other values (246) 20317
29.0%
ValueCountFrequency (%)
0 43704
62.4%
1 2192
 
3.1%
2 1207
 
1.7%
3 732
 
1.0%
4 468
 
0.7%
ValueCountFrequency (%)
255 458
0.7%
254 92
 
0.1%
253 54
 
0.1%
252 47
 
0.1%
251 33
 
< 0.1%

369
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.18988571
Minimum0
Maximum255
Zeros35990
Zeros (%)51.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:33.045572image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3135
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)135

Descriptive statistics

Standard deviation87.26619681
Coefficient of variation (CV)1.403221694
Kurtosis-0.6647962367
Mean62.18988571
Median Absolute Deviation (MAD)0
Skewness0.9876065169
Sum4353292
Variance7615.389106
MonotonicityNot monotonic
2025-03-23T12:50:33.186129image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35990
51.4%
1 2039
 
2.9%
2 1228
 
1.8%
255 922
 
1.3%
3 776
 
1.1%
4 509
 
0.7%
5 313
 
0.4%
215 226
 
0.3%
6 217
 
0.3%
213 211
 
0.3%
Other values (246) 27569
39.4%
ValueCountFrequency (%)
0 35990
51.4%
1 2039
 
2.9%
2 1228
 
1.8%
3 776
 
1.1%
4 509
 
0.7%
ValueCountFrequency (%)
255 922
1.3%
254 179
 
0.3%
253 147
 
0.2%
252 91
 
0.1%
251 81
 
0.1%

370
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.91238571
Minimum0
Maximum255
Zeros32013
Zeros (%)45.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:33.326756image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q3170
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)170

Descriptive statistics

Standard deviation91.69104699
Coefficient of variation (CV)1.207853582
Kurtosis-1.24719968
Mean75.91238571
Median Absolute Deviation (MAD)4
Skewness0.6575752939
Sum5313867
Variance8407.248099
MonotonicityNot monotonic
2025-03-23T12:50:33.482976image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32013
45.7%
1 1479
 
2.1%
2 897
 
1.3%
255 869
 
1.2%
3 593
 
0.8%
4 402
 
0.6%
5 290
 
0.4%
219 281
 
0.4%
220 277
 
0.4%
218 267
 
0.4%
Other values (246) 32632
46.6%
ValueCountFrequency (%)
0 32013
45.7%
1 1479
 
2.1%
2 897
 
1.3%
3 593
 
0.8%
4 402
 
0.6%
ValueCountFrequency (%)
255 869
1.2%
254 155
 
0.2%
253 97
 
0.1%
252 106
 
0.2%
251 73
 
0.1%

371
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.61821429
Minimum0
Maximum255
Zeros26818
Zeros (%)38.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:33.639146image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median56
Q3186
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)186

Descriptive statistics

Standard deviation94.0347082
Coefficient of variation (CV)1.049281209
Kurtosis-1.489856742
Mean89.61821429
Median Absolute Deviation (MAD)56
Skewness0.4055391213
Sum6273275
Variance8842.526347
MonotonicityNot monotonic
2025-03-23T12:50:33.779776image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26818
38.3%
1 1408
 
2.0%
255 1120
 
1.6%
2 759
 
1.1%
3 474
 
0.7%
229 313
 
0.4%
220 302
 
0.4%
216 302
 
0.4%
222 302
 
0.4%
224 299
 
0.4%
Other values (246) 37903
54.1%
ValueCountFrequency (%)
0 26818
38.3%
1 1408
 
2.0%
2 759
 
1.1%
3 474
 
0.7%
4 299
 
0.4%
ValueCountFrequency (%)
255 1120
1.6%
254 208
 
0.3%
253 150
 
0.2%
252 132
 
0.2%
251 113
 
0.2%

372
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.3558143
Minimum0
Maximum255
Zeros20264
Zeros (%)28.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:33.935990image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median100
Q3191
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)191

Descriptive statistics

Standard deviation91.10866115
Coefficient of variation (CV)0.8901171055
Kurtosis-1.548088913
Mean102.3558143
Median Absolute Deviation (MAD)100
Skewness0.1528394746
Sum7164907
Variance8300.788136
MonotonicityNot monotonic
2025-03-23T12:50:34.076580image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20264
28.9%
1 1193
 
1.7%
255 970
 
1.4%
2 731
 
1.0%
3 477
 
0.7%
216 343
 
0.5%
206 340
 
0.5%
4 333
 
0.5%
211 325
 
0.5%
218 322
 
0.5%
Other values (246) 44702
63.9%
ValueCountFrequency (%)
0 20264
28.9%
1 1193
 
1.7%
2 731
 
1.0%
3 477
 
0.7%
4 333
 
0.5%
ValueCountFrequency (%)
255 970
1.4%
254 154
 
0.2%
253 123
 
0.2%
252 107
 
0.2%
251 128
 
0.2%

373
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.8151571
Minimum0
Maximum255
Zeros12909
Zeros (%)18.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:34.217176image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116
median130
Q3198
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)182

Descriptive statistics

Standard deviation87.08471205
Coefficient of variation (CV)0.7391639086
Kurtosis-1.456990307
Mean117.8151571
Median Absolute Deviation (MAD)79
Skewness-0.1237364922
Sum8247061
Variance7583.747072
MonotonicityNot monotonic
2025-03-23T12:50:34.373387image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12909
 
18.4%
255 1152
 
1.6%
1 1148
 
1.6%
2 780
 
1.1%
3 537
 
0.8%
218 413
 
0.6%
4 408
 
0.6%
208 398
 
0.6%
222 393
 
0.6%
213 386
 
0.6%
Other values (246) 51476
73.5%
ValueCountFrequency (%)
0 12909
18.4%
1 1148
 
1.6%
2 780
 
1.1%
3 537
 
0.8%
4 408
 
0.6%
ValueCountFrequency (%)
255 1152
1.6%
254 177
 
0.3%
253 139
 
0.2%
252 118
 
0.2%
251 106
 
0.2%

374
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean133.7981714
Minimum0
Maximum255
Zeros9016
Zeros (%)12.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:34.513983image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q164
median154
Q3205
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)141

Descriptive statistics

Standard deviation82.38143214
Coefficient of variation (CV)0.6157141855
Kurtosis-1.184586135
Mean133.7981714
Median Absolute Deviation (MAD)61
Skewness-0.4133836405
Sum9365872
Variance6786.700361
MonotonicityNot monotonic
2025-03-23T12:50:34.670190image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9016
 
12.9%
255 1218
 
1.7%
1 775
 
1.1%
221 488
 
0.7%
223 486
 
0.7%
222 479
 
0.7%
215 478
 
0.7%
212 477
 
0.7%
218 477
 
0.7%
216 471
 
0.7%
Other values (246) 55635
79.5%
ValueCountFrequency (%)
0 9016
12.9%
1 775
 
1.1%
2 470
 
0.7%
3 362
 
0.5%
4 294
 
0.4%
ValueCountFrequency (%)
255 1218
1.7%
254 179
 
0.3%
253 155
 
0.2%
252 108
 
0.2%
251 102
 
0.1%

375
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean138.6099143
Minimum0
Maximum255
Zeros7390
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:34.810781image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q179
median158
Q3206
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)127

Descriptive statistics

Standard deviation78.45570521
Coefficient of variation (CV)0.566017991
Kurtosis-1.015405636
Mean138.6099143
Median Absolute Deviation (MAD)56
Skewness-0.5203145465
Sum9702694
Variance6155.29768
MonotonicityNot monotonic
2025-03-23T12:50:34.966970image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7390
 
10.6%
1 599
 
0.9%
217 555
 
0.8%
213 545
 
0.8%
224 540
 
0.8%
223 540
 
0.8%
219 531
 
0.8%
216 530
 
0.8%
218 527
 
0.8%
255 526
 
0.8%
Other values (246) 57717
82.5%
ValueCountFrequency (%)
0 7390
10.6%
1 599
 
0.9%
2 342
 
0.5%
3 229
 
0.3%
4 180
 
0.3%
ValueCountFrequency (%)
255 526
0.8%
254 114
 
0.2%
253 75
 
0.1%
252 72
 
0.1%
251 82
 
0.1%

376
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean144.8547571
Minimum0
Maximum255
Zeros5977
Zeros (%)8.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:35.107586image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q189
median164
Q3209
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)120

Descriptive statistics

Standard deviation76.58033605
Coefficient of variation (CV)0.5286698039
Kurtosis-0.8603192121
Mean144.8547571
Median Absolute Deviation (MAD)53
Skewness-0.5847201865
Sum10139833
Variance5864.547869
MonotonicityNot monotonic
2025-03-23T12:50:35.248182image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5977
 
8.5%
255 1106
 
1.6%
221 554
 
0.8%
223 553
 
0.8%
222 548
 
0.8%
227 539
 
0.8%
228 525
 
0.8%
226 519
 
0.7%
215 518
 
0.7%
213 518
 
0.7%
Other values (246) 58643
83.8%
ValueCountFrequency (%)
0 5977
8.5%
1 439
 
0.6%
2 248
 
0.4%
3 175
 
0.2%
4 118
 
0.2%
ValueCountFrequency (%)
255 1106
1.6%
254 157
 
0.2%
253 111
 
0.2%
252 112
 
0.2%
251 88
 
0.1%

377
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.8290429
Minimum0
Maximum255
Zeros6421
Zeros (%)9.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:35.404392image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q185
median161
Q3206
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)121

Descriptive statistics

Standard deviation76.63205406
Coefficient of variation (CV)0.5403128479
Kurtosis-0.9155357039
Mean141.8290429
Median Absolute Deviation (MAD)54
Skewness-0.5615549356
Sum9928033
Variance5872.471709
MonotonicityNot monotonic
2025-03-23T12:50:35.560604image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6421
 
9.2%
255 692
 
1.0%
216 544
 
0.8%
219 541
 
0.8%
227 539
 
0.8%
223 532
 
0.8%
222 527
 
0.8%
225 523
 
0.7%
208 509
 
0.7%
221 503
 
0.7%
Other values (246) 58669
83.8%
ValueCountFrequency (%)
0 6421
9.2%
1 442
 
0.6%
2 226
 
0.3%
3 188
 
0.3%
4 139
 
0.2%
ValueCountFrequency (%)
255 692
1.0%
254 98
 
0.1%
253 86
 
0.1%
252 77
 
0.1%
251 73
 
0.1%

378
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean138.5291429
Minimum0
Maximum255
Zeros8266
Zeros (%)11.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:35.701163image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q178
median160
Q3205
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)127

Descriptive statistics

Standard deviation78.57736288
Coefficient of variation (CV)0.5672262259
Kurtosis-1.006401172
Mean138.5291429
Median Absolute Deviation (MAD)55
Skewness-0.5454764844
Sum9697040
Variance6174.401956
MonotonicityNot monotonic
2025-03-23T12:50:35.857410image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8266
 
11.8%
214 560
 
0.8%
215 539
 
0.8%
218 533
 
0.8%
225 527
 
0.8%
217 519
 
0.7%
216 510
 
0.7%
226 509
 
0.7%
229 508
 
0.7%
206 505
 
0.7%
Other values (246) 57024
81.5%
ValueCountFrequency (%)
0 8266
11.8%
1 438
 
0.6%
2 283
 
0.4%
3 158
 
0.2%
4 111
 
0.2%
ValueCountFrequency (%)
255 420
0.6%
254 85
 
0.1%
253 63
 
0.1%
252 49
 
0.1%
251 46
 
0.1%

379
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153.9904857
Minimum0
Maximum255
Zeros4077
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:35.998005image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1107
median174.5
Q3212
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)105

Descriptive statistics

Standard deviation72.36124474
Coefficient of variation (CV)0.469907244
Kurtosis-0.522740066
Mean153.9904857
Median Absolute Deviation (MAD)45.5
Skewness-0.7412489791
Sum10779334
Variance5236.14974
MonotonicityNot monotonic
2025-03-23T12:50:36.154215image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4077
 
5.8%
255 1288
 
1.8%
225 604
 
0.9%
228 596
 
0.9%
226 596
 
0.9%
227 592
 
0.8%
215 575
 
0.8%
218 570
 
0.8%
222 570
 
0.8%
213 564
 
0.8%
Other values (246) 59968
85.7%
ValueCountFrequency (%)
0 4077
5.8%
1 386
 
0.6%
2 221
 
0.3%
3 142
 
0.2%
4 95
 
0.1%
ValueCountFrequency (%)
255 1288
1.8%
254 159
 
0.2%
253 157
 
0.2%
252 106
 
0.2%
251 115
 
0.2%

380
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean156.3608571
Minimum0
Maximum255
Zeros3675
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:36.669722image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1112
median177
Q3212.25
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)100.25

Descriptive statistics

Standard deviation70.31971737
Coefficient of variation (CV)0.4497271162
Kurtosis-0.3713198301
Mean156.3608571
Median Absolute Deviation (MAD)43
Skewness-0.8159563514
Sum10945260
Variance4944.862652
MonotonicityNot monotonic
2025-03-23T12:50:36.810272image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3675
 
5.2%
255 698
 
1.0%
227 637
 
0.9%
223 635
 
0.9%
228 627
 
0.9%
221 627
 
0.9%
213 626
 
0.9%
222 625
 
0.9%
217 624
 
0.9%
212 622
 
0.9%
Other values (246) 60604
86.6%
ValueCountFrequency (%)
0 3675
5.2%
1 299
 
0.4%
2 190
 
0.3%
3 113
 
0.2%
4 85
 
0.1%
ValueCountFrequency (%)
255 698
1.0%
254 124
 
0.2%
253 101
 
0.1%
252 113
 
0.2%
251 88
 
0.1%

381
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean155.7770571
Minimum0
Maximum255
Zeros3592
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:36.950909image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1110
median177
Q3212
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)102

Descriptive statistics

Standard deviation70.40005285
Coefficient of variation (CV)0.4519282502
Kurtosis-0.4219654323
Mean155.7770571
Median Absolute Deviation (MAD)43
Skewness-0.7926013419
Sum10904394
Variance4956.167442
MonotonicityNot monotonic
2025-03-23T12:50:37.107125image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3592
 
5.1%
255 768
 
1.1%
217 672
 
1.0%
213 654
 
0.9%
222 645
 
0.9%
220 643
 
0.9%
216 641
 
0.9%
218 637
 
0.9%
225 627
 
0.9%
214 623
 
0.9%
Other values (246) 60498
86.4%
ValueCountFrequency (%)
0 3592
5.1%
1 270
 
0.4%
2 171
 
0.2%
3 121
 
0.2%
4 85
 
0.1%
ValueCountFrequency (%)
255 768
1.1%
254 129
 
0.2%
253 97
 
0.1%
252 90
 
0.1%
251 99
 
0.1%

382
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152.0752
Minimum0
Maximum255
Zeros4270
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:37.247711image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1101
median173
Q3212
95-th percentile242
Maximum255
Range255
Interquartile range (IQR)111

Descriptive statistics

Standard deviation73.84873689
Coefficient of variation (CV)0.4856067057
Kurtosis-0.663124054
Mean152.0752
Median Absolute Deviation (MAD)48
Skewness-0.6815123169
Sum10645264
Variance5453.63594
MonotonicityNot monotonic
2025-03-23T12:50:37.407367image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4270
 
6.1%
255 1476
 
2.1%
222 609
 
0.9%
208 596
 
0.9%
221 596
 
0.9%
210 594
 
0.8%
220 590
 
0.8%
213 588
 
0.8%
225 583
 
0.8%
216 583
 
0.8%
Other values (246) 59515
85.0%
ValueCountFrequency (%)
0 4270
6.1%
1 252
 
0.4%
2 192
 
0.3%
3 127
 
0.2%
4 97
 
0.1%
ValueCountFrequency (%)
255 1476
2.1%
254 254
 
0.4%
253 184
 
0.3%
252 147
 
0.2%
251 148
 
0.2%

383
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean136.1323857
Minimum0
Maximum255
Zeros9215
Zeros (%)13.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:37.546432image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q164
median159
Q3208
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)144

Descriptive statistics

Standard deviation82.94152548
Coefficient of variation (CV)0.6092710787
Kurtosis-1.204895867
Mean136.1323857
Median Absolute Deviation (MAD)60
Skewness-0.4400912381
Sum9529267
Variance6879.29665
MonotonicityNot monotonic
2025-03-23T12:50:37.702641image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9215
 
13.2%
255 963
 
1.4%
213 553
 
0.8%
222 548
 
0.8%
217 545
 
0.8%
220 542
 
0.8%
216 538
 
0.8%
210 530
 
0.8%
209 523
 
0.7%
215 522
 
0.7%
Other values (246) 55521
79.3%
ValueCountFrequency (%)
0 9215
13.2%
1 308
 
0.4%
2 230
 
0.3%
3 177
 
0.3%
4 156
 
0.2%
ValueCountFrequency (%)
255 963
1.4%
254 160
 
0.2%
253 162
 
0.2%
252 105
 
0.1%
251 108
 
0.2%

384
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.0900571
Minimum0
Maximum255
Zeros14772
Zeros (%)21.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:37.843198image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q125
median155
Q3210
95-th percentile243
Maximum255
Range255
Interquartile range (IQR)185

Descriptive statistics

Standard deviation90.10491275
Coefficient of variation (CV)0.6980004095
Kurtosis-1.441611063
Mean129.0900571
Median Absolute Deviation (MAD)69
Skewness-0.3209233729
Sum9036304
Variance8118.895303
MonotonicityNot monotonic
2025-03-23T12:50:37.999410image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14772
 
21.1%
255 1158
 
1.7%
219 522
 
0.7%
220 521
 
0.7%
218 507
 
0.7%
215 505
 
0.7%
225 498
 
0.7%
217 497
 
0.7%
223 494
 
0.7%
214 491
 
0.7%
Other values (246) 50035
71.5%
ValueCountFrequency (%)
0 14772
21.1%
1 419
 
0.6%
2 299
 
0.4%
3 185
 
0.3%
4 131
 
0.2%
ValueCountFrequency (%)
255 1158
1.7%
254 235
 
0.3%
253 185
 
0.3%
252 170
 
0.2%
251 162
 
0.2%

385
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.4057714
Minimum0
Maximum255
Zeros18942
Zeros (%)27.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:38.140038image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median145
Q3208
95-th percentile242
Maximum255
Range255
Interquartile range (IQR)208

Descriptive statistics

Standard deviation94.04953739
Coefficient of variation (CV)0.7811048945
Kurtosis-1.602604658
Mean120.4057714
Median Absolute Deviation (MAD)80
Skewness-0.1789098007
Sum8428404
Variance8845.315483
MonotonicityNot monotonic
2025-03-23T12:50:38.296213image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18942
27.1%
255 1223
 
1.7%
1 599
 
0.9%
213 522
 
0.7%
218 508
 
0.7%
222 502
 
0.7%
224 484
 
0.7%
221 466
 
0.7%
227 462
 
0.7%
220 460
 
0.7%
Other values (246) 45832
65.5%
ValueCountFrequency (%)
0 18942
27.1%
1 599
 
0.9%
2 448
 
0.6%
3 279
 
0.4%
4 172
 
0.2%
ValueCountFrequency (%)
255 1223
1.7%
254 193
 
0.3%
253 153
 
0.2%
252 135
 
0.2%
251 134
 
0.2%

386
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.9683143
Minimum0
Maximum255
Zeros21749
Zeros (%)31.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:38.436844image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median122
Q3202
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)202

Descriptive statistics

Standard deviation94.67774196
Coefficient of variation (CV)0.8609547448
Kurtosis-1.658315559
Mean109.9683143
Median Absolute Deviation (MAD)99
Skewness-0.004518834643
Sum7697782
Variance8963.874823
MonotonicityNot monotonic
2025-03-23T12:50:38.608639image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21749
31.1%
255 1065
 
1.5%
1 849
 
1.2%
2 597
 
0.9%
216 465
 
0.7%
213 461
 
0.7%
3 443
 
0.6%
210 434
 
0.6%
217 433
 
0.6%
224 431
 
0.6%
Other values (246) 43073
61.5%
ValueCountFrequency (%)
0 21749
31.1%
1 849
 
1.2%
2 597
 
0.9%
3 443
 
0.6%
4 281
 
0.4%
ValueCountFrequency (%)
255 1065
1.5%
254 192
 
0.3%
253 164
 
0.2%
252 127
 
0.2%
251 109
 
0.2%

387
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.01297143
Minimum0
Maximum255
Zeros25922
Zeros (%)37.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:38.749275image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median71
Q3189
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)189

Descriptive statistics

Standard deviation93.15960306
Coefficient of variation (CV)1.001576464
Kurtosis-1.575006284
Mean93.01297143
Median Absolute Deviation (MAD)71
Skewness0.3016076635
Sum6510908
Variance8678.711642
MonotonicityNot monotonic
2025-03-23T12:50:38.905482image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25922
37.0%
1 1028
 
1.5%
255 805
 
1.1%
2 693
 
1.0%
3 494
 
0.7%
219 360
 
0.5%
216 355
 
0.5%
210 344
 
0.5%
215 338
 
0.5%
213 335
 
0.5%
Other values (246) 39326
56.2%
ValueCountFrequency (%)
0 25922
37.0%
1 1028
 
1.5%
2 693
 
1.0%
3 494
 
0.7%
4 306
 
0.4%
ValueCountFrequency (%)
255 805
1.1%
254 143
 
0.2%
253 139
 
0.2%
252 109
 
0.2%
251 75
 
0.1%

388
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.06604286
Minimum0
Maximum255
Zeros35740
Zeros (%)51.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:39.046039image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3163
95-th percentile225
Maximum255
Range255
Interquartile range (IQR)163

Descriptive statistics

Standard deviation88.80159968
Coefficient of variation (CV)1.267398529
Kurtosis-1.179397841
Mean70.06604286
Median Absolute Deviation (MAD)0
Skewness0.7280936727
Sum4904623
Variance7885.724106
MonotonicityNot monotonic
2025-03-23T12:50:39.202287image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35740
51.1%
1 828
 
1.2%
2 514
 
0.7%
3 342
 
0.5%
211 305
 
0.4%
200 302
 
0.4%
217 295
 
0.4%
205 291
 
0.4%
198 289
 
0.4%
212 284
 
0.4%
Other values (246) 30810
44.0%
ValueCountFrequency (%)
0 35740
51.1%
1 828
 
1.2%
2 514
 
0.7%
3 342
 
0.5%
4 222
 
0.3%
ValueCountFrequency (%)
255 270
0.4%
254 54
 
0.1%
253 35
 
0.1%
252 42
 
0.1%
251 44
 
0.1%

389
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.97148571
Minimum0
Maximum255
Zeros43411
Zeros (%)62.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:39.358510image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3141
95-th percentile225
Maximum255
Range255
Interquartile range (IQR)141

Descriptive statistics

Standard deviation87.15667218
Coefficient of variation (CV)1.477946013
Kurtosis-0.7464172767
Mean58.97148571
Median Absolute Deviation (MAD)0
Skewness0.9966443905
Sum4128004
Variance7596.285505
MonotonicityNot monotonic
2025-03-23T12:50:39.499095image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43411
62.0%
1 571
 
0.8%
2 327
 
0.5%
255 326
 
0.5%
205 282
 
0.4%
209 266
 
0.4%
204 263
 
0.4%
210 258
 
0.4%
214 256
 
0.4%
211 255
 
0.4%
Other values (246) 23785
34.0%
ValueCountFrequency (%)
0 43411
62.0%
1 571
 
0.8%
2 327
 
0.5%
3 185
 
0.3%
4 150
 
0.2%
ValueCountFrequency (%)
255 326
0.5%
254 53
 
0.1%
253 46
 
0.1%
252 51
 
0.1%
251 49
 
0.1%

390
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.24575714
Minimum0
Maximum255
Zeros47936
Zeros (%)68.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:39.639694image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q366
95-th percentile230
Maximum255
Range255
Interquartile range (IQR)66

Descriptive statistics

Standard deviation81.12802096
Coefficient of variation (CV)1.754280305
Kurtosis0.5053749895
Mean46.24575714
Median Absolute Deviation (MAD)0
Skewness1.455284354
Sum3237203
Variance6581.755786
MonotonicityNot monotonic
2025-03-23T12:50:39.795859image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 47936
68.5%
255 1239
 
1.8%
1 430
 
0.6%
2 275
 
0.4%
3 168
 
0.2%
216 139
 
0.2%
4 138
 
0.2%
206 138
 
0.2%
199 136
 
0.2%
219 136
 
0.2%
Other values (246) 19265
27.5%
ValueCountFrequency (%)
0 47936
68.5%
1 430
 
0.6%
2 275
 
0.4%
3 168
 
0.2%
4 138
 
0.2%
ValueCountFrequency (%)
255 1239
1.8%
254 122
 
0.2%
253 93
 
0.1%
252 80
 
0.1%
251 77
 
0.1%

391
Real number (ℝ)

Zeros 

Distinct234
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.40995714
Minimum0
Maximum255
Zeros58246
Zeros (%)83.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:39.936451image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile84
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation31.12662419
Coefficient of variation (CV)2.990081876
Kurtosis12.96207785
Mean10.40995714
Median Absolute Deviation (MAD)0
Skewness3.535072776
Sum728697
Variance968.8667332
MonotonicityNot monotonic
2025-03-23T12:50:40.092702image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 58246
83.2%
1 622
 
0.9%
2 352
 
0.5%
3 216
 
0.3%
4 159
 
0.2%
7 143
 
0.2%
5 141
 
0.2%
6 115
 
0.2%
24 113
 
0.2%
22 111
 
0.2%
Other values (224) 9782
 
14.0%
ValueCountFrequency (%)
0 58246
83.2%
1 622
 
0.9%
2 352
 
0.5%
3 216
 
0.3%
4 159
 
0.2%
ValueCountFrequency (%)
255 2
< 0.1%
254 2
< 0.1%
239 1
< 0.1%
236 1
< 0.1%
235 1
< 0.1%

392
Real number (ℝ)

Zeros 

Distinct234
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.635471429
Minimum0
Maximum255
Zeros63487
Zeros (%)90.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:40.233297image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.03777962
Coefficient of variation (CV)5.51174174
Kurtosis50.38753745
Mean3.635471429
Median Absolute Deviation (MAD)0
Skewness6.79458609
Sum254483
Variance401.512612
MonotonicityNot monotonic
2025-03-23T12:50:40.389508image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63487
90.7%
1 1980
 
2.8%
2 654
 
0.9%
3 306
 
0.4%
4 171
 
0.2%
5 112
 
0.2%
6 76
 
0.1%
7 57
 
0.1%
9 45
 
0.1%
16 45
 
0.1%
Other values (224) 3067
 
4.4%
ValueCountFrequency (%)
0 63487
90.7%
1 1980
 
2.8%
2 654
 
0.9%
3 306
 
0.4%
4 171
 
0.2%
ValueCountFrequency (%)
255 1
< 0.1%
245 1
< 0.1%
242 1
< 0.1%
241 1
< 0.1%
238 1
< 0.1%

393
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.36858571
Minimum0
Maximum255
Zeros59913
Zeros (%)85.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:40.545684image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile107
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation41.6488401
Coefficient of variation (CV)3.663502317
Kurtosis16.18847215
Mean11.36858571
Median Absolute Deviation (MAD)0
Skewness4.064454123
Sum795801
Variance1734.625882
MonotonicityNot monotonic
2025-03-23T12:50:40.686277image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59913
85.6%
1 1490
 
2.1%
2 816
 
1.2%
3 464
 
0.7%
4 275
 
0.4%
255 203
 
0.3%
5 189
 
0.3%
6 105
 
0.1%
7 89
 
0.1%
8 69
 
0.1%
Other values (246) 6387
 
9.1%
ValueCountFrequency (%)
0 59913
85.6%
1 1490
 
2.1%
2 816
 
1.2%
3 464
 
0.7%
4 275
 
0.4%
ValueCountFrequency (%)
255 203
0.3%
254 18
 
< 0.1%
253 12
 
< 0.1%
252 10
 
< 0.1%
251 16
 
< 0.1%

394
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.5002
Minimum0
Maximum255
Zeros57227
Zeros (%)81.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:40.842526image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile147
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation47.56298685
Coefficient of variation (CV)3.068540202
Kurtosis10.00841397
Mean15.5002
Median Absolute Deviation (MAD)0
Skewness3.293018944
Sum1085014
Variance2262.237718
MonotonicityNot monotonic
2025-03-23T12:50:40.998745image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 57227
81.8%
1 1564
 
2.2%
2 789
 
1.1%
3 559
 
0.8%
4 373
 
0.5%
5 231
 
0.3%
6 167
 
0.2%
7 107
 
0.2%
255 93
 
0.1%
8 86
 
0.1%
Other values (246) 8804
 
12.6%
ValueCountFrequency (%)
0 57227
81.8%
1 1564
 
2.2%
2 789
 
1.1%
3 559
 
0.8%
4 373
 
0.5%
ValueCountFrequency (%)
255 93
0.1%
254 10
 
< 0.1%
253 12
 
< 0.1%
252 17
 
< 0.1%
251 13
 
< 0.1%

395
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.19971429
Minimum0
Maximum255
Zeros51656
Zeros (%)73.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:41.139330image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile187
Maximum255
Range255
Interquartile range (IQR)1

Descriptive statistics

Standard deviation59.06188501
Coefficient of variation (CV)2.343752169
Kurtosis4.595102823
Mean25.19971429
Median Absolute Deviation (MAD)0
Skewness2.4016585
Sum1763980
Variance3488.306261
MonotonicityNot monotonic
2025-03-23T12:50:41.295509image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 51656
73.8%
1 1596
 
2.3%
2 766
 
1.1%
3 503
 
0.7%
4 376
 
0.5%
255 258
 
0.4%
5 244
 
0.3%
6 165
 
0.2%
7 142
 
0.2%
8 111
 
0.2%
Other values (246) 14183
 
20.3%
ValueCountFrequency (%)
0 51656
73.8%
1 1596
 
2.3%
2 766
 
1.1%
3 503
 
0.7%
4 376
 
0.5%
ValueCountFrequency (%)
255 258
0.4%
254 39
 
0.1%
253 21
 
< 0.1%
252 13
 
< 0.1%
251 19
 
< 0.1%

396
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.7102
Minimum0
Maximum255
Zeros40086
Zeros (%)57.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:41.436099image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q377
95-th percentile218
Maximum255
Range255
Interquartile range (IQR)77

Descriptive statistics

Standard deviation75.78347071
Coefficient of variation (CV)1.622418031
Kurtosis0.5328128444
Mean46.7102
Median Absolute Deviation (MAD)0
Skewness1.4126061
Sum3269714
Variance5743.134432
MonotonicityNot monotonic
2025-03-23T12:50:41.592353image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40086
57.3%
1 1845
 
2.6%
2 1019
 
1.5%
3 636
 
0.9%
255 524
 
0.7%
4 441
 
0.6%
5 290
 
0.4%
6 205
 
0.3%
7 150
 
0.2%
9 147
 
0.2%
Other values (246) 24657
35.2%
ValueCountFrequency (%)
0 40086
57.3%
1 1845
 
2.6%
2 1019
 
1.5%
3 636
 
0.9%
4 441
 
0.6%
ValueCountFrequency (%)
255 524
0.7%
254 92
 
0.1%
253 54
 
0.1%
252 69
 
0.1%
251 47
 
0.1%

397
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.08168571
Minimum0
Maximum255
Zeros31764
Zeros (%)45.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:41.732943image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q3155
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)155

Descriptive statistics

Standard deviation89.28286449
Coefficient of variation (CV)1.256060033
Kurtosis-1.036666879
Mean71.08168571
Median Absolute Deviation (MAD)2
Skewness0.7699308555
Sum4975718
Variance7971.429891
MonotonicityNot monotonic
2025-03-23T12:50:41.889153image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31764
45.4%
1 2072
 
3.0%
2 1297
 
1.9%
255 999
 
1.4%
3 890
 
1.3%
4 548
 
0.8%
5 326
 
0.5%
211 233
 
0.3%
204 228
 
0.3%
205 218
 
0.3%
Other values (246) 31425
44.9%
ValueCountFrequency (%)
0 31764
45.4%
1 2072
 
3.0%
2 1297
 
1.9%
3 890
 
1.3%
4 548
 
0.8%
ValueCountFrequency (%)
255 999
1.4%
254 199
 
0.3%
253 135
 
0.2%
252 105
 
0.1%
251 95
 
0.1%

398
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.54702857
Minimum0
Maximum255
Zeros29171
Zeros (%)41.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:42.029748image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median32
Q3179
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)179

Descriptive statistics

Standard deviation92.84799774
Coefficient of variation (CV)1.111326152
Kurtosis-1.420881951
Mean83.54702857
Median Absolute Deviation (MAD)32
Skewness0.495881064
Sum5848292
Variance8620.750685
MonotonicityNot monotonic
2025-03-23T12:50:42.560834image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29171
41.7%
1 1421
 
2.0%
255 1000
 
1.4%
2 962
 
1.4%
3 646
 
0.9%
4 444
 
0.6%
215 309
 
0.4%
206 293
 
0.4%
212 284
 
0.4%
208 280
 
0.4%
Other values (246) 35190
50.3%
ValueCountFrequency (%)
0 29171
41.7%
1 1421
 
2.0%
2 962
 
1.4%
3 646
 
0.9%
4 444
 
0.6%
ValueCountFrequency (%)
255 1000
1.4%
254 162
 
0.2%
253 129
 
0.2%
252 89
 
0.1%
251 84
 
0.1%

399
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.11417143
Minimum0
Maximum255
Zeros25376
Zeros (%)36.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:42.717087image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median74
Q3188
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)188

Descriptive statistics

Standard deviation93.87863234
Coefficient of variation (CV)0.9974973048
Kurtosis-1.542169263
Mean94.11417143
Median Absolute Deviation (MAD)74
Skewness0.3113293684
Sum6587992
Variance8813.197611
MonotonicityNot monotonic
2025-03-23T12:50:42.857679image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25376
36.3%
255 1181
 
1.7%
1 1125
 
1.6%
2 763
 
1.1%
3 461
 
0.7%
4 322
 
0.5%
204 315
 
0.4%
220 306
 
0.4%
214 303
 
0.4%
209 303
 
0.4%
Other values (246) 39545
56.5%
ValueCountFrequency (%)
0 25376
36.3%
1 1125
 
1.6%
2 763
 
1.1%
3 461
 
0.7%
4 322
 
0.5%
ValueCountFrequency (%)
255 1181
1.7%
254 207
 
0.3%
253 146
 
0.2%
252 163
 
0.2%
251 148
 
0.2%

400
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.6326714
Minimum0
Maximum255
Zeros19188
Zeros (%)27.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:42.998229image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median106
Q3190
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)190

Descriptive statistics

Standard deviation89.69596019
Coefficient of variation (CV)0.8572462021
Kurtosis-1.533485159
Mean104.6326714
Median Absolute Deviation (MAD)99
Skewness0.1010859739
Sum7324287
Variance8045.365275
MonotonicityNot monotonic
2025-03-23T12:50:43.154480image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19188
27.4%
1 975
 
1.4%
255 865
 
1.2%
2 624
 
0.9%
3 412
 
0.6%
209 340
 
0.5%
217 336
 
0.5%
218 333
 
0.5%
194 329
 
0.5%
219 329
 
0.5%
Other values (246) 46269
66.1%
ValueCountFrequency (%)
0 19188
27.4%
1 975
 
1.4%
2 624
 
0.9%
3 412
 
0.6%
4 296
 
0.4%
ValueCountFrequency (%)
255 865
1.2%
254 144
 
0.2%
253 145
 
0.2%
252 113
 
0.2%
251 121
 
0.2%

401
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122.7162571
Minimum0
Maximum255
Zeros11990
Zeros (%)17.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:43.295091image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q135
median138
Q3199
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)164

Descriptive statistics

Standard deviation85.55416194
Coefficient of variation (CV)0.6971705619
Kurtosis-1.386816191
Mean122.7162571
Median Absolute Deviation (MAD)73
Skewness-0.2107848842
Sum8590138
Variance7319.514626
MonotonicityNot monotonic
2025-03-23T12:50:43.451286image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11990
 
17.1%
255 1201
 
1.7%
1 843
 
1.2%
2 562
 
0.8%
217 423
 
0.6%
221 415
 
0.6%
219 409
 
0.6%
212 402
 
0.6%
214 402
 
0.6%
226 400
 
0.6%
Other values (246) 52953
75.6%
ValueCountFrequency (%)
0 11990
17.1%
1 843
 
1.2%
2 562
 
0.8%
3 372
 
0.5%
4 298
 
0.4%
ValueCountFrequency (%)
255 1201
1.7%
254 190
 
0.3%
253 162
 
0.2%
252 124
 
0.2%
251 106
 
0.2%

402
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean138.8448571
Minimum0
Maximum255
Zeros7749
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:43.591881image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q177
median159
Q3207
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)130

Descriptive statistics

Standard deviation79.79164796
Coefficient of variation (CV)0.5746820559
Kurtosis-1.037126986
Mean138.8448571
Median Absolute Deviation (MAD)57
Skewness-0.4992091985
Sum9719140
Variance6366.707084
MonotonicityNot monotonic
2025-03-23T12:50:43.748053image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7749
 
11.1%
255 1164
 
1.7%
1 555
 
0.8%
220 516
 
0.7%
210 509
 
0.7%
221 506
 
0.7%
216 505
 
0.7%
223 502
 
0.7%
209 499
 
0.7%
225 493
 
0.7%
Other values (246) 57002
81.4%
ValueCountFrequency (%)
0 7749
11.1%
1 555
 
0.8%
2 362
 
0.5%
3 255
 
0.4%
4 195
 
0.3%
ValueCountFrequency (%)
255 1164
1.7%
254 176
 
0.3%
253 147
 
0.2%
252 120
 
0.2%
251 124
 
0.2%

403
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean145.0882286
Minimum0
Maximum255
Zeros5733
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:43.888688image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q192
median166
Q3208
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)116

Descriptive statistics

Standard deviation75.40896154
Coefficient of variation (CV)0.5197455526
Kurtosis-0.8058478712
Mean145.0882286
Median Absolute Deviation (MAD)51
Skewness-0.6273747371
Sum10156176
Variance5686.51148
MonotonicityNot monotonic
2025-03-23T12:50:44.044883image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5733
 
8.2%
255 594
 
0.8%
221 581
 
0.8%
223 580
 
0.8%
224 574
 
0.8%
218 561
 
0.8%
225 557
 
0.8%
217 555
 
0.8%
220 552
 
0.8%
222 548
 
0.8%
Other values (246) 59165
84.5%
ValueCountFrequency (%)
0 5733
8.2%
1 437
 
0.6%
2 266
 
0.4%
3 193
 
0.3%
4 142
 
0.2%
ValueCountFrequency (%)
255 594
0.8%
254 106
 
0.2%
253 76
 
0.1%
252 73
 
0.1%
251 79
 
0.1%

404
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean149.5067
Minimum0
Maximum255
Zeros4736
Zeros (%)6.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:44.201108image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q199
median170
Q3210
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)111

Descriptive statistics

Standard deviation73.95005317
Coefficient of variation (CV)0.4946270179
Kurtosis-0.6851510286
Mean149.5067
Median Absolute Deviation (MAD)49
Skewness-0.6682412326
Sum10465469
Variance5468.610364
MonotonicityNot monotonic
2025-03-23T12:50:44.341704image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4736
 
6.8%
255 1000
 
1.4%
218 591
 
0.8%
221 570
 
0.8%
226 563
 
0.8%
228 562
 
0.8%
215 560
 
0.8%
223 555
 
0.8%
219 554
 
0.8%
222 551
 
0.8%
Other values (246) 59758
85.4%
ValueCountFrequency (%)
0 4736
6.8%
1 437
 
0.6%
2 260
 
0.4%
3 147
 
0.2%
4 105
 
0.1%
ValueCountFrequency (%)
255 1000
1.4%
254 148
 
0.2%
253 128
 
0.2%
252 99
 
0.1%
251 100
 
0.1%

405
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143.6382571
Minimum0
Maximum255
Zeros6346
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:44.497880image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q188
median164
Q3207
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)119

Descriptive statistics

Standard deviation76.07437951
Coefficient of variation (CV)0.5296247742
Kurtosis-0.8485384113
Mean143.6382571
Median Absolute Deviation (MAD)52
Skewness-0.6087832699
Sum10054678
Variance5787.311218
MonotonicityNot monotonic
2025-03-23T12:50:44.654132image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6346
 
9.1%
219 565
 
0.8%
215 562
 
0.8%
255 561
 
0.8%
221 541
 
0.8%
222 541
 
0.8%
227 529
 
0.8%
226 527
 
0.8%
218 525
 
0.8%
223 524
 
0.7%
Other values (246) 58779
84.0%
ValueCountFrequency (%)
0 6346
9.1%
1 442
 
0.6%
2 247
 
0.4%
3 170
 
0.2%
4 119
 
0.2%
ValueCountFrequency (%)
255 561
0.8%
254 105
 
0.1%
253 68
 
0.1%
252 63
 
0.1%
251 67
 
0.1%

406
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.2000571
Minimum0
Maximum255
Zeros8458
Zeros (%)12.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:44.794722image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q179
median162
Q3206
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)127

Descriptive statistics

Standard deviation78.86950803
Coefficient of variation (CV)0.5665910607
Kurtosis-0.9937352507
Mean139.2000571
Median Absolute Deviation (MAD)54
Skewness-0.5682537178
Sum9744004
Variance6220.399297
MonotonicityNot monotonic
2025-03-23T12:50:44.950931image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8458
 
12.1%
227 554
 
0.8%
214 542
 
0.8%
225 538
 
0.8%
215 537
 
0.8%
222 537
 
0.8%
223 536
 
0.8%
221 529
 
0.8%
219 523
 
0.7%
208 522
 
0.7%
Other values (246) 56724
81.0%
ValueCountFrequency (%)
0 8458
12.1%
1 468
 
0.7%
2 254
 
0.4%
3 168
 
0.2%
4 108
 
0.2%
ValueCountFrequency (%)
255 399
0.6%
254 71
 
0.1%
253 58
 
0.1%
252 44
 
0.1%
251 63
 
0.1%

407
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153.9201286
Minimum0
Maximum255
Zeros4145
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:45.091485image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1107
median175
Q3213
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)106

Descriptive statistics

Standard deviation72.5029831
Coefficient of variation (CV)0.4710428959
Kurtosis-0.5231190577
Mean153.9201286
Median Absolute Deviation (MAD)46
Skewness-0.7511417767
Sum10774409
Variance5256.682559
MonotonicityNot monotonic
2025-03-23T12:50:45.247739image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4145
 
5.9%
255 1100
 
1.6%
223 615
 
0.9%
215 609
 
0.9%
226 608
 
0.9%
224 604
 
0.9%
217 597
 
0.9%
228 588
 
0.8%
214 584
 
0.8%
219 578
 
0.8%
Other values (246) 59972
85.7%
ValueCountFrequency (%)
0 4145
5.9%
1 382
 
0.5%
2 211
 
0.3%
3 186
 
0.3%
4 101
 
0.1%
ValueCountFrequency (%)
255 1100
1.6%
254 159
 
0.2%
253 129
 
0.2%
252 110
 
0.2%
251 96
 
0.1%

408
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean157.5423571
Minimum0
Maximum255
Zeros3595
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:45.388330image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1114
median179
Q3213
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)99

Descriptive statistics

Standard deviation70.08434941
Coefficient of variation (CV)0.4448603581
Kurtosis-0.3248811142
Mean157.5423571
Median Absolute Deviation (MAD)42
Skewness-0.8422751965
Sum11027965
Variance4911.816032
MonotonicityNot monotonic
2025-03-23T12:50:45.544541image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3595
 
5.1%
220 682
 
1.0%
255 653
 
0.9%
223 648
 
0.9%
222 642
 
0.9%
228 640
 
0.9%
218 639
 
0.9%
219 630
 
0.9%
216 630
 
0.9%
213 627
 
0.9%
Other values (246) 60614
86.6%
ValueCountFrequency (%)
0 3595
5.1%
1 293
 
0.4%
2 182
 
0.3%
3 109
 
0.2%
4 73
 
0.1%
ValueCountFrequency (%)
255 653
0.9%
254 107
 
0.2%
253 97
 
0.1%
252 108
 
0.2%
251 81
 
0.1%

409
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean156.7820429
Minimum0
Maximum255
Zeros3282
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:45.685133image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q1112
median177
Q3213
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)101

Descriptive statistics

Standard deviation69.56571231
Coefficient of variation (CV)0.4437096943
Kurtosis-0.3765165753
Mean156.7820429
Median Absolute Deviation (MAD)43
Skewness-0.8128930138
Sum10974743
Variance4839.388329
MonotonicityNot monotonic
2025-03-23T12:50:45.825688image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3282
 
4.7%
220 716
 
1.0%
216 672
 
1.0%
217 654
 
0.9%
223 651
 
0.9%
219 650
 
0.9%
210 649
 
0.9%
218 648
 
0.9%
255 640
 
0.9%
213 626
 
0.9%
Other values (246) 60812
86.9%
ValueCountFrequency (%)
0 3282
4.7%
1 206
 
0.3%
2 177
 
0.3%
3 116
 
0.2%
4 72
 
0.1%
ValueCountFrequency (%)
255 640
0.9%
254 131
 
0.2%
253 78
 
0.1%
252 71
 
0.1%
251 74
 
0.1%

410
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153.8630286
Minimum0
Maximum255
Zeros3881
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:45.981938image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1105
median174
Q3213
95-th percentile242
Maximum255
Range255
Interquartile range (IQR)108

Descriptive statistics

Standard deviation72.66354487
Coefficient of variation (CV)0.4722612413
Kurtosis-0.5918306683
Mean153.8630286
Median Absolute Deviation (MAD)46
Skewness-0.7101393717
Sum10770412
Variance5279.990753
MonotonicityNot monotonic
2025-03-23T12:50:46.122537image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3881
 
5.5%
255 1397
 
2.0%
211 634
 
0.9%
214 630
 
0.9%
218 618
 
0.9%
219 615
 
0.9%
223 591
 
0.8%
228 588
 
0.8%
220 586
 
0.8%
217 584
 
0.8%
Other values (246) 59876
85.5%
ValueCountFrequency (%)
0 3881
5.5%
1 225
 
0.3%
2 167
 
0.2%
3 101
 
0.1%
4 80
 
0.1%
ValueCountFrequency (%)
255 1397
2.0%
254 248
 
0.4%
253 182
 
0.3%
252 138
 
0.2%
251 126
 
0.2%

411
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135.7555714
Minimum0
Maximum255
Zeros9042
Zeros (%)12.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:46.263121image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q164
median158
Q3208
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)144

Descriptive statistics

Standard deviation82.35998708
Coefficient of variation (CV)0.6066785047
Kurtosis-1.20072661
Mean135.7555714
Median Absolute Deviation (MAD)60
Skewness-0.4349383377
Sum9502890
Variance6783.167471
MonotonicityNot monotonic
2025-03-23T12:50:46.419334image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9042
 
12.9%
255 883
 
1.3%
211 540
 
0.8%
216 536
 
0.8%
210 531
 
0.8%
215 529
 
0.8%
209 527
 
0.8%
219 527
 
0.8%
214 519
 
0.7%
224 517
 
0.7%
Other values (246) 55849
79.8%
ValueCountFrequency (%)
0 9042
12.9%
1 256
 
0.4%
2 194
 
0.3%
3 148
 
0.2%
4 144
 
0.2%
ValueCountFrequency (%)
255 883
1.3%
254 169
 
0.2%
253 115
 
0.2%
252 98
 
0.1%
251 102
 
0.1%

412
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.4039143
Minimum0
Maximum255
Zeros15116
Zeros (%)21.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:46.559933image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120
median150
Q3208
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)188

Descriptive statistics

Standard deviation89.77664695
Coefficient of variation (CV)0.7102362886
Kurtosis-1.467154535
Mean126.4039143
Median Absolute Deviation (MAD)71
Skewness-0.2813662641
Sum8848274
Variance8059.846337
MonotonicityNot monotonic
2025-03-23T12:50:46.716140image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15116
 
21.6%
255 964
 
1.4%
224 518
 
0.7%
215 500
 
0.7%
213 492
 
0.7%
214 488
 
0.7%
217 484
 
0.7%
223 481
 
0.7%
207 481
 
0.7%
222 479
 
0.7%
Other values (246) 49997
71.4%
ValueCountFrequency (%)
0 15116
21.6%
1 326
 
0.5%
2 257
 
0.4%
3 175
 
0.2%
4 152
 
0.2%
ValueCountFrequency (%)
255 964
1.4%
254 194
 
0.3%
253 128
 
0.2%
252 149
 
0.2%
251 134
 
0.2%

413
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.7220571
Minimum0
Maximum255
Zeros19183
Zeros (%)27.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:46.856694image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median144
Q3208
95-th percentile242
Maximum255
Range255
Interquartile range (IQR)208

Descriptive statistics

Standard deviation94.16365747
Coefficient of variation (CV)0.7865188731
Kurtosis-1.609279043
Mean119.7220571
Median Absolute Deviation (MAD)81
Skewness-0.1675204879
Sum8380544
Variance8866.794388
MonotonicityNot monotonic
2025-03-23T12:50:47.012955image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19183
27.4%
255 1266
 
1.8%
1 517
 
0.7%
222 513
 
0.7%
224 507
 
0.7%
2 491
 
0.7%
210 486
 
0.7%
213 483
 
0.7%
216 480
 
0.7%
214 472
 
0.7%
Other values (246) 45602
65.1%
ValueCountFrequency (%)
0 19183
27.4%
1 517
 
0.7%
2 491
 
0.7%
3 304
 
0.4%
4 154
 
0.2%
ValueCountFrequency (%)
255 1266
1.8%
254 211
 
0.3%
253 138
 
0.2%
252 156
 
0.2%
251 147
 
0.2%

414
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.1304
Minimum0
Maximum255
Zeros21456
Zeros (%)30.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:47.153542image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median124
Q3202
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)202

Descriptive statistics

Standard deviation94.65118915
Coefficient of variation (CV)0.8594465211
Kurtosis-1.661487723
Mean110.1304
Median Absolute Deviation (MAD)98
Skewness-0.0131581815
Sum7709128
Variance8958.847608
MonotonicityNot monotonic
2025-03-23T12:50:47.294128image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21456
30.7%
1 1050
 
1.5%
255 1016
 
1.5%
2 740
 
1.1%
3 536
 
0.8%
216 479
 
0.7%
221 469
 
0.7%
211 455
 
0.7%
204 447
 
0.6%
218 443
 
0.6%
Other values (246) 42909
61.3%
ValueCountFrequency (%)
0 21456
30.7%
1 1050
 
1.5%
2 740
 
1.1%
3 536
 
0.8%
4 306
 
0.4%
ValueCountFrequency (%)
255 1016
1.5%
254 171
 
0.2%
253 142
 
0.2%
252 132
 
0.2%
251 99
 
0.1%

415
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.29357143
Minimum0
Maximum255
Zeros25538
Zeros (%)36.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:47.450342image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median77
Q3190
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)190

Descriptive statistics

Standard deviation93.09972431
Coefficient of variation (CV)0.9873390402
Kurtosis-1.583293107
Mean94.29357143
Median Absolute Deviation (MAD)77
Skewness0.275927521
Sum6600550
Variance8667.558667
MonotonicityNot monotonic
2025-03-23T12:50:47.590897image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25538
36.5%
1 1051
 
1.5%
255 837
 
1.2%
2 737
 
1.1%
3 457
 
0.7%
218 363
 
0.5%
216 354
 
0.5%
215 341
 
0.5%
222 340
 
0.5%
210 335
 
0.5%
Other values (246) 39647
56.6%
ValueCountFrequency (%)
0 25538
36.5%
1 1051
 
1.5%
2 737
 
1.1%
3 457
 
0.7%
4 296
 
0.4%
ValueCountFrequency (%)
255 837
1.2%
254 149
 
0.2%
253 138
 
0.2%
252 109
 
0.2%
251 86
 
0.1%

416
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.39764286
Minimum0
Maximum255
Zeros35192
Zeros (%)50.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:47.747111image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3164
95-th percentile226
Maximum255
Range255
Interquartile range (IQR)164

Descriptive statistics

Standard deviation88.79114519
Coefficient of variation (CV)1.243614518
Kurtosis-1.206288241
Mean71.39764286
Median Absolute Deviation (MAD)0
Skewness0.7005261423
Sum4997835
Variance7883.867464
MonotonicityNot monotonic
2025-03-23T12:50:47.903332image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35192
50.3%
1 715
 
1.0%
2 415
 
0.6%
206 304
 
0.4%
202 304
 
0.4%
209 300
 
0.4%
207 299
 
0.4%
208 296
 
0.4%
204 290
 
0.4%
211 287
 
0.4%
Other values (246) 31598
45.1%
ValueCountFrequency (%)
0 35192
50.3%
1 715
 
1.0%
2 415
 
0.6%
3 239
 
0.3%
4 206
 
0.3%
ValueCountFrequency (%)
255 274
0.4%
254 63
 
0.1%
253 41
 
0.1%
252 34
 
< 0.1%
251 33
 
< 0.1%

417
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.73514286
Minimum0
Maximum255
Zeros43089
Zeros (%)61.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:48.043951image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3143
95-th percentile224
Maximum255
Range255
Interquartile range (IQR)143

Descriptive statistics

Standard deviation87.13545368
Coefficient of variation (CV)1.458696665
Kurtosis-0.8045957658
Mean59.73514286
Median Absolute Deviation (MAD)0
Skewness0.9681012015
Sum4181460
Variance7592.587288
MonotonicityNot monotonic
2025-03-23T12:50:48.200165image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43089
61.6%
1 490
 
0.7%
255 297
 
0.4%
215 288
 
0.4%
210 278
 
0.4%
204 277
 
0.4%
200 277
 
0.4%
2 274
 
0.4%
206 270
 
0.4%
211 264
 
0.4%
Other values (246) 24196
34.6%
ValueCountFrequency (%)
0 43089
61.6%
1 490
 
0.7%
2 274
 
0.4%
3 196
 
0.3%
4 142
 
0.2%
ValueCountFrequency (%)
255 297
0.4%
254 48
 
0.1%
253 37
 
0.1%
252 45
 
0.1%
251 36
 
0.1%

418
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.03001429
Minimum0
Maximum255
Zeros46928
Zeros (%)67.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:48.731289image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q389
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)89

Descriptive statistics

Standard deviation84.06993685
Coefficient of variation (CV)1.680390023
Kurtosis0.1240094875
Mean50.03001429
Median Absolute Deviation (MAD)0
Skewness1.332601849
Sum3502101
Variance7067.754281
MonotonicityNot monotonic
2025-03-23T12:50:48.887502image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46928
67.0%
255 1377
 
2.0%
1 436
 
0.6%
2 313
 
0.4%
3 174
 
0.2%
221 168
 
0.2%
4 159
 
0.2%
211 158
 
0.2%
210 156
 
0.2%
207 155
 
0.2%
Other values (246) 19976
28.5%
ValueCountFrequency (%)
0 46928
67.0%
1 436
 
0.6%
2 313
 
0.4%
3 174
 
0.2%
4 159
 
0.2%
ValueCountFrequency (%)
255 1377
2.0%
254 128
 
0.2%
253 91
 
0.1%
252 73
 
0.1%
251 91
 
0.1%

419
Real number (ℝ)

Zeros 

Distinct234
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.5208
Minimum0
Maximum244
Zeros56740
Zeros (%)81.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:49.028099image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile96
Maximum244
Range244
Interquartile range (IQR)0

Descriptive statistics

Standard deviation34.37261144
Coefficient of variation (CV)2.745240834
Kurtosis10.25280501
Mean12.5208
Median Absolute Deviation (MAD)0
Skewness3.19020425
Sum876456
Variance1181.476417
MonotonicityNot monotonic
2025-03-23T12:50:49.168690image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56740
81.1%
1 509
 
0.7%
2 314
 
0.4%
3 213
 
0.3%
4 159
 
0.2%
5 144
 
0.2%
17 132
 
0.2%
7 131
 
0.2%
12 128
 
0.2%
46 128
 
0.2%
Other values (224) 11402
 
16.3%
ValueCountFrequency (%)
0 56740
81.1%
1 509
 
0.7%
2 314
 
0.4%
3 213
 
0.3%
4 159
 
0.2%
ValueCountFrequency (%)
244 1
 
< 0.1%
239 1
 
< 0.1%
238 2
< 0.1%
233 4
< 0.1%
232 1
 
< 0.1%

420
Real number (ℝ)

Zeros 

Distinct235
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2613
Minimum0
Maximum255
Zeros60935
Zeros (%)87.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:49.324897image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile48
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation25.15863911
Coefficient of variation (CV)4.018117501
Kurtosis26.0482189
Mean6.2613
Median Absolute Deviation (MAD)0
Skewness4.909952459
Sum438291
Variance632.9571217
MonotonicityNot monotonic
2025-03-23T12:50:49.481112image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60935
87.1%
1 1607
 
2.3%
2 726
 
1.0%
3 312
 
0.4%
4 155
 
0.2%
5 136
 
0.2%
6 95
 
0.1%
11 90
 
0.1%
8 89
 
0.1%
12 85
 
0.1%
Other values (225) 5770
 
8.2%
ValueCountFrequency (%)
0 60935
87.1%
1 1607
 
2.3%
2 726
 
1.0%
3 312
 
0.4%
4 155
 
0.2%
ValueCountFrequency (%)
255 3
< 0.1%
251 1
 
< 0.1%
250 1
 
< 0.1%
244 2
< 0.1%
240 2
< 0.1%

421
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.40315714
Minimum0
Maximum255
Zeros56856
Zeros (%)81.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:49.621667image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile164
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation52.10477362
Coefficient of variation (CV)2.831295371
Kurtosis7.770943978
Mean18.40315714
Median Absolute Deviation (MAD)0
Skewness2.960723011
Sum1288221
Variance2714.907434
MonotonicityNot monotonic
2025-03-23T12:50:49.777917image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56856
81.2%
1 1221
 
1.7%
2 727
 
1.0%
3 446
 
0.6%
4 271
 
0.4%
255 227
 
0.3%
5 167
 
0.2%
6 119
 
0.2%
29 66
 
0.1%
7 65
 
0.1%
Other values (246) 9835
 
14.1%
ValueCountFrequency (%)
0 56856
81.2%
1 1221
 
1.7%
2 727
 
1.0%
3 446
 
0.6%
4 271
 
0.4%
ValueCountFrequency (%)
255 227
0.3%
254 27
 
< 0.1%
253 25
 
< 0.1%
252 14
 
< 0.1%
251 17
 
< 0.1%

422
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.57228571
Minimum0
Maximum255
Zeros54574
Zeros (%)78.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:49.918512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile178
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation56.54271802
Coefficient of variation (CV)2.504962003
Kurtosis5.117054236
Mean22.57228571
Median Absolute Deviation (MAD)0
Skewness2.518226306
Sum1580060
Variance3197.078962
MonotonicityNot monotonic
2025-03-23T12:50:50.074722image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54574
78.0%
1 1224
 
1.7%
2 663
 
0.9%
3 486
 
0.7%
4 321
 
0.5%
5 232
 
0.3%
6 134
 
0.2%
255 103
 
0.1%
7 96
 
0.1%
8 85
 
0.1%
Other values (246) 12082
 
17.3%
ValueCountFrequency (%)
0 54574
78.0%
1 1224
 
1.7%
2 663
 
0.9%
3 486
 
0.7%
4 321
 
0.5%
ValueCountFrequency (%)
255 103
0.1%
254 25
 
< 0.1%
253 17
 
< 0.1%
252 11
 
< 0.1%
251 15
 
< 0.1%

423
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.69437143
Minimum0
Maximum255
Zeros48984
Zeros (%)70.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:50.230935image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q313
95-th percentile200
Maximum255
Range255
Interquartile range (IQR)13

Descriptive statistics

Standard deviation65.88339591
Coefficient of variation (CV)2.015129609
Kurtosis2.340874832
Mean32.69437143
Median Absolute Deviation (MAD)0
Skewness1.922534148
Sum2288606
Variance4340.621857
MonotonicityNot monotonic
2025-03-23T12:50:50.371531image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 48984
70.0%
1 1192
 
1.7%
2 648
 
0.9%
3 429
 
0.6%
4 315
 
0.4%
255 277
 
0.4%
5 223
 
0.3%
6 150
 
0.2%
7 116
 
0.2%
8 107
 
0.2%
Other values (246) 17559
 
25.1%
ValueCountFrequency (%)
0 48984
70.0%
1 1192
 
1.7%
2 648
 
0.9%
3 429
 
0.6%
4 315
 
0.4%
ValueCountFrequency (%)
255 277
0.4%
254 38
 
0.1%
253 32
 
< 0.1%
252 26
 
< 0.1%
251 19
 
< 0.1%

424
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.02124286
Minimum0
Maximum255
Zeros37611
Zeros (%)53.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:50.527745image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3109
95-th percentile222
Maximum255
Range255
Interquartile range (IQR)109

Descriptive statistics

Standard deviation79.71825588
Coefficient of variation (CV)1.448863234
Kurtosis-0.2135010912
Mean55.02124286
Median Absolute Deviation (MAD)0
Skewness1.13666469
Sum3851487
Variance6355.00032
MonotonicityNot monotonic
2025-03-23T12:50:50.668338image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37611
53.7%
1 1503
 
2.1%
2 780
 
1.1%
255 555
 
0.8%
3 467
 
0.7%
4 361
 
0.5%
5 276
 
0.4%
209 163
 
0.2%
6 162
 
0.2%
208 161
 
0.2%
Other values (246) 27961
39.9%
ValueCountFrequency (%)
0 37611
53.7%
1 1503
 
2.1%
2 780
 
1.1%
3 467
 
0.7%
4 361
 
0.5%
ValueCountFrequency (%)
255 555
0.8%
254 98
 
0.1%
253 70
 
0.1%
252 73
 
0.1%
251 55
 
0.1%

425
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.57132857
Minimum0
Maximum255
Zeros29888
Zeros (%)42.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:50.808887image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median9
Q3167
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)167

Descriptive statistics

Standard deviation90.56102151
Coefficient of variation (CV)1.167454821
Kurtosis-1.251237863
Mean77.57132857
Median Absolute Deviation (MAD)9
Skewness0.6166165757
Sum5429993
Variance8201.298617
MonotonicityNot monotonic
2025-03-23T12:50:50.965146image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29888
42.7%
1 1871
 
2.7%
2 1216
 
1.7%
255 993
 
1.4%
3 830
 
1.2%
4 486
 
0.7%
5 315
 
0.4%
210 251
 
0.4%
190 250
 
0.4%
214 248
 
0.4%
Other values (246) 33652
48.1%
ValueCountFrequency (%)
0 29888
42.7%
1 1871
 
2.7%
2 1216
 
1.7%
3 830
 
1.2%
4 486
 
0.7%
ValueCountFrequency (%)
255 993
1.4%
254 188
 
0.3%
253 160
 
0.2%
252 114
 
0.2%
251 97
 
0.1%

426
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.86295714
Minimum0
Maximum255
Zeros27880
Zeros (%)39.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:51.121354image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median53
Q3182
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)182

Descriptive statistics

Standard deviation93.2155261
Coefficient of variation (CV)1.060919518
Kurtosis-1.487349534
Mean87.86295714
Median Absolute Deviation (MAD)53
Skewness0.4101898182
Sum6150407
Variance8689.134307
MonotonicityNot monotonic
2025-03-23T12:50:51.261947image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27880
39.8%
1 1284
 
1.8%
255 1111
 
1.6%
2 881
 
1.3%
3 588
 
0.8%
4 373
 
0.5%
223 308
 
0.4%
214 301
 
0.4%
216 294
 
0.4%
205 289
 
0.4%
Other values (246) 36691
52.4%
ValueCountFrequency (%)
0 27880
39.8%
1 1284
 
1.8%
2 881
 
1.3%
3 588
 
0.8%
4 373
 
0.5%
ValueCountFrequency (%)
255 1111
1.6%
254 184
 
0.3%
253 130
 
0.2%
252 125
 
0.2%
251 104
 
0.1%

427
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.14862857
Minimum0
Maximum255
Zeros24179
Zeros (%)34.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:51.418159image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median83
Q3188
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)188

Descriptive statistics

Standard deviation92.77280917
Coefficient of variation (CV)0.964889573
Kurtosis-1.539318167
Mean96.14862857
Median Absolute Deviation (MAD)83
Skewness0.2698577799
Sum6730404
Variance8606.794121
MonotonicityNot monotonic
2025-03-23T12:50:51.558718image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24179
34.5%
255 1178
 
1.7%
1 974
 
1.4%
2 593
 
0.8%
3 456
 
0.7%
208 337
 
0.5%
219 311
 
0.4%
206 303
 
0.4%
210 301
 
0.4%
207 299
 
0.4%
Other values (246) 41069
58.7%
ValueCountFrequency (%)
0 24179
34.5%
1 974
 
1.4%
2 593
 
0.8%
3 456
 
0.7%
4 275
 
0.4%
ValueCountFrequency (%)
255 1178
1.7%
254 228
 
0.3%
253 160
 
0.2%
252 143
 
0.2%
251 126
 
0.2%

428
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.7193857
Minimum0
Maximum255
Zeros17406
Zeros (%)24.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:51.714966image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median112
Q3190
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)189

Descriptive statistics

Standard deviation88.10213317
Coefficient of variation (CV)0.8178855885
Kurtosis-1.507549957
Mean107.7193857
Median Absolute Deviation (MAD)91
Skewness0.04492991788
Sum7540357
Variance7761.98587
MonotonicityNot monotonic
2025-03-23T12:50:51.855556image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17406
 
24.9%
255 802
 
1.1%
1 694
 
1.0%
2 484
 
0.7%
3 373
 
0.5%
211 347
 
0.5%
214 345
 
0.5%
195 342
 
0.5%
222 331
 
0.5%
225 331
 
0.5%
Other values (246) 48545
69.3%
ValueCountFrequency (%)
0 17406
24.9%
1 694
 
1.0%
2 484
 
0.7%
3 373
 
0.5%
4 277
 
0.4%
ValueCountFrequency (%)
255 802
1.1%
254 175
 
0.2%
253 121
 
0.2%
252 94
 
0.1%
251 116
 
0.2%

429
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.5281714
Minimum0
Maximum255
Zeros10326
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:51.996150image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q156
median147
Q3202
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)146

Descriptive statistics

Standard deviation83.3455138
Coefficient of variation (CV)0.643454724
Kurtosis-1.263659263
Mean129.5281714
Median Absolute Deviation (MAD)66
Skewness-0.3191720248
Sum9066972
Variance6946.47467
MonotonicityNot monotonic
2025-03-23T12:50:52.136698image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10326
 
14.8%
255 1311
 
1.9%
1 562
 
0.8%
215 471
 
0.7%
220 448
 
0.6%
216 443
 
0.6%
209 440
 
0.6%
221 436
 
0.6%
213 419
 
0.6%
222 419
 
0.6%
Other values (246) 54725
78.2%
ValueCountFrequency (%)
0 10326
14.8%
1 562
 
0.8%
2 390
 
0.6%
3 219
 
0.3%
4 197
 
0.3%
ValueCountFrequency (%)
255 1311
1.9%
254 202
 
0.3%
253 154
 
0.2%
252 139
 
0.2%
251 115
 
0.2%

430
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean145.2000571
Minimum0
Maximum255
Zeros5925
Zeros (%)8.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:52.292954image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q191
median165
Q3208
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)117

Descriptive statistics

Standard deviation76.17353785
Coefficient of variation (CV)0.5246109358
Kurtosis-0.8298496959
Mean145.2000571
Median Absolute Deviation (MAD)52
Skewness-0.5965301815
Sum10164004
Variance5802.407869
MonotonicityNot monotonic
2025-03-23T12:50:52.449166image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5925
 
8.5%
255 1145
 
1.6%
220 557
 
0.8%
223 544
 
0.8%
216 543
 
0.8%
214 535
 
0.8%
215 534
 
0.8%
206 527
 
0.8%
225 525
 
0.8%
224 522
 
0.7%
Other values (246) 58643
83.8%
ValueCountFrequency (%)
0 5925
8.5%
1 384
 
0.5%
2 244
 
0.3%
3 180
 
0.3%
4 125
 
0.2%
ValueCountFrequency (%)
255 1145
1.6%
254 175
 
0.2%
253 148
 
0.2%
252 107
 
0.2%
251 114
 
0.2%

431
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean151.069
Minimum0
Maximum255
Zeros4300
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:52.589755image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1103
median171
Q3210
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)107

Descriptive statistics

Standard deviation71.81201647
Coefficient of variation (CV)0.475359051
Kurtosis-0.5701143104
Mean151.069
Median Absolute Deviation (MAD)47
Skewness-0.7184994743
Sum10574830
Variance5156.96571
MonotonicityNot monotonic
2025-03-23T12:50:52.745974image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4300
 
6.1%
255 634
 
0.9%
223 623
 
0.9%
218 597
 
0.9%
216 585
 
0.8%
219 584
 
0.8%
225 579
 
0.8%
227 576
 
0.8%
221 572
 
0.8%
212 570
 
0.8%
Other values (246) 60380
86.3%
ValueCountFrequency (%)
0 4300
6.1%
1 329
 
0.5%
2 214
 
0.3%
3 116
 
0.2%
4 100
 
0.1%
ValueCountFrequency (%)
255 634
0.9%
254 96
 
0.1%
253 89
 
0.1%
252 92
 
0.1%
251 62
 
0.1%

432
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152.8421143
Minimum0
Maximum255
Zeros4033
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:52.886522image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1105
median173
Q3211
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)106

Descriptive statistics

Standard deviation71.93505719
Coefficient of variation (CV)0.4706494511
Kurtosis-0.5415430618
Mean152.8421143
Median Absolute Deviation (MAD)46
Skewness-0.7280903876
Sum10698948
Variance5174.652453
MonotonicityNot monotonic
2025-03-23T12:50:53.042777image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4033
 
5.8%
255 916
 
1.3%
221 613
 
0.9%
220 583
 
0.8%
208 579
 
0.8%
215 574
 
0.8%
218 574
 
0.8%
224 573
 
0.8%
227 571
 
0.8%
219 570
 
0.8%
Other values (246) 60414
86.3%
ValueCountFrequency (%)
0 4033
5.8%
1 354
 
0.5%
2 227
 
0.3%
3 135
 
0.2%
4 99
 
0.1%
ValueCountFrequency (%)
255 916
1.3%
254 145
 
0.2%
253 122
 
0.2%
252 90
 
0.1%
251 84
 
0.1%

433
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean145.4150714
Minimum0
Maximum255
Zeros6123
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:53.183368image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q192
median167
Q3208
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)116

Descriptive statistics

Standard deviation75.51250561
Coefficient of variation (CV)0.5192894029
Kurtosis-0.7865008996
Mean145.4150714
Median Absolute Deviation (MAD)50
Skewness-0.6496094476
Sum10179055
Variance5702.138503
MonotonicityNot monotonic
2025-03-23T12:50:53.339577image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6123
 
8.7%
218 611
 
0.9%
219 579
 
0.8%
222 563
 
0.8%
216 560
 
0.8%
211 548
 
0.8%
225 547
 
0.8%
230 545
 
0.8%
205 543
 
0.8%
228 540
 
0.8%
Other values (246) 58841
84.1%
ValueCountFrequency (%)
0 6123
8.7%
1 468
 
0.7%
2 204
 
0.3%
3 147
 
0.2%
4 102
 
0.1%
ValueCountFrequency (%)
255 531
0.8%
254 91
 
0.1%
253 78
 
0.1%
252 63
 
0.1%
251 59
 
0.1%

434
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean140.4764429
Minimum0
Maximum255
Zeros8571
Zeros (%)12.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:53.480171image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q182
median164
Q3207
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)125

Descriptive statistics

Standard deviation78.94329567
Coefficient of variation (CV)0.5619682138
Kurtosis-0.9656016829
Mean140.4764429
Median Absolute Deviation (MAD)53
Skewness-0.5946058788
Sum9833351
Variance6232.043931
MonotonicityNot monotonic
2025-03-23T12:50:53.636387image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8571
 
12.2%
215 566
 
0.8%
218 559
 
0.8%
225 557
 
0.8%
221 556
 
0.8%
210 547
 
0.8%
217 543
 
0.8%
214 543
 
0.8%
227 541
 
0.8%
223 534
 
0.8%
Other values (246) 56483
80.7%
ValueCountFrequency (%)
0 8571
12.2%
1 396
 
0.6%
2 234
 
0.3%
3 150
 
0.2%
4 125
 
0.2%
ValueCountFrequency (%)
255 337
0.5%
254 74
 
0.1%
253 58
 
0.1%
252 59
 
0.1%
251 39
 
0.1%

435
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.5948857
Minimum0
Maximum255
Zeros4173
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:53.776974image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1107
median176
Q3213
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)106

Descriptive statistics

Standard deviation72.29416714
Coefficient of variation (CV)0.4676362146
Kurtosis-0.5030262902
Mean154.5948857
Median Absolute Deviation (MAD)45
Skewness-0.7673690172
Sum10821642
Variance5226.446603
MonotonicityNot monotonic
2025-03-23T12:50:53.933192image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4173
 
6.0%
255 973
 
1.4%
225 632
 
0.9%
215 630
 
0.9%
221 609
 
0.9%
222 608
 
0.9%
217 604
 
0.9%
218 602
 
0.9%
229 601
 
0.9%
219 600
 
0.9%
Other values (246) 59968
85.7%
ValueCountFrequency (%)
0 4173
6.0%
1 313
 
0.4%
2 163
 
0.2%
3 131
 
0.2%
4 84
 
0.1%
ValueCountFrequency (%)
255 973
1.4%
254 145
 
0.2%
253 125
 
0.2%
252 98
 
0.1%
251 85
 
0.1%

436
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean159.3957429
Minimum0
Maximum255
Zeros3308
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:54.073778image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q1117
median181
Q3214
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)97

Descriptive statistics

Standard deviation69.21353704
Coefficient of variation (CV)0.4342245018
Kurtosis-0.2674490132
Mean159.3957429
Median Absolute Deviation (MAD)41
Skewness-0.865270277
Sum11157702
Variance4790.513709
MonotonicityNot monotonic
2025-03-23T12:50:54.604901image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3308
 
4.7%
218 702
 
1.0%
221 691
 
1.0%
216 671
 
1.0%
217 661
 
0.9%
223 654
 
0.9%
222 647
 
0.9%
215 638
 
0.9%
207 637
 
0.9%
229 634
 
0.9%
Other values (246) 60757
86.8%
ValueCountFrequency (%)
0 3308
4.7%
1 190
 
0.3%
2 134
 
0.2%
3 101
 
0.1%
4 54
 
0.1%
ValueCountFrequency (%)
255 618
0.9%
254 125
 
0.2%
253 115
 
0.2%
252 108
 
0.2%
251 109
 
0.2%

437
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean158.7167143
Minimum0
Maximum255
Zeros2829
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:54.745502image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q1115
median179
Q3213
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)98

Descriptive statistics

Standard deviation68.28040617
Coefficient of variation (CV)0.4302029971
Kurtosis-0.3154133485
Mean158.7167143
Median Absolute Deviation (MAD)42
Skewness-0.8336505635
Sum11110170
Variance4662.213867
MonotonicityNot monotonic
2025-03-23T12:50:54.901713image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2829
 
4.0%
215 696
 
1.0%
214 676
 
1.0%
217 672
 
1.0%
223 669
 
1.0%
222 669
 
1.0%
216 666
 
1.0%
225 660
 
0.9%
218 657
 
0.9%
221 657
 
0.9%
Other values (246) 61149
87.4%
ValueCountFrequency (%)
0 2829
4.0%
1 171
 
0.2%
2 126
 
0.2%
3 79
 
0.1%
4 71
 
0.1%
ValueCountFrequency (%)
255 574
0.8%
254 119
 
0.2%
253 93
 
0.1%
252 101
 
0.1%
251 80
 
0.1%

438
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean156.2548857
Minimum0
Maximum255
Zeros3444
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:55.057926image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1108
median177
Q3213
95-th percentile243
Maximum255
Range255
Interquartile range (IQR)105

Descriptive statistics

Standard deviation71.47348727
Coefficient of variation (CV)0.4574160158
Kurtosis-0.5199380084
Mean156.2548857
Median Absolute Deviation (MAD)45
Skewness-0.7382712251
Sum10937842
Variance5108.459383
MonotonicityNot monotonic
2025-03-23T12:50:55.198514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3444
 
4.9%
255 1414
 
2.0%
218 641
 
0.9%
211 629
 
0.9%
210 617
 
0.9%
219 617
 
0.9%
222 613
 
0.9%
206 604
 
0.9%
217 598
 
0.9%
224 598
 
0.9%
Other values (246) 60225
86.0%
ValueCountFrequency (%)
0 3444
4.9%
1 138
 
0.2%
2 109
 
0.2%
3 97
 
0.1%
4 70
 
0.1%
ValueCountFrequency (%)
255 1414
2.0%
254 255
 
0.4%
253 174
 
0.2%
252 147
 
0.2%
251 131
 
0.2%

439
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137.4634857
Minimum0
Maximum255
Zeros8388
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:55.339111image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q169
median159
Q3208
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)139

Descriptive statistics

Standard deviation81.43701218
Coefficient of variation (CV)0.5924265033
Kurtosis-1.154069469
Mean137.4634857
Median Absolute Deviation (MAD)59
Skewness-0.4575060049
Sum9622444
Variance6631.986952
MonotonicityNot monotonic
2025-03-23T12:50:55.542146image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8388
 
12.0%
255 905
 
1.3%
216 554
 
0.8%
214 553
 
0.8%
215 545
 
0.8%
223 530
 
0.8%
217 527
 
0.8%
218 522
 
0.7%
220 518
 
0.7%
209 513
 
0.7%
Other values (246) 56445
80.6%
ValueCountFrequency (%)
0 8388
12.0%
1 215
 
0.3%
2 149
 
0.2%
3 141
 
0.2%
4 147
 
0.2%
ValueCountFrequency (%)
255 905
1.3%
254 185
 
0.3%
253 117
 
0.2%
252 118
 
0.2%
251 107
 
0.2%

440
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125.4378286
Minimum0
Maximum255
Zeros14952
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:55.682738image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q122
median147
Q3207
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)185

Descriptive statistics

Standard deviation89.26945266
Coefficient of variation (CV)0.7116629304
Kurtosis-1.46588162
Mean125.4378286
Median Absolute Deviation (MAD)73
Skewness-0.2609563537
Sum8780648
Variance7969.035178
MonotonicityNot monotonic
2025-03-23T12:50:55.838987image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14952
 
21.4%
255 956
 
1.4%
223 493
 
0.7%
222 486
 
0.7%
219 481
 
0.7%
215 467
 
0.7%
225 464
 
0.7%
205 463
 
0.7%
221 463
 
0.7%
210 462
 
0.7%
Other values (246) 50313
71.9%
ValueCountFrequency (%)
0 14952
21.4%
1 294
 
0.4%
2 215
 
0.3%
3 176
 
0.3%
4 123
 
0.2%
ValueCountFrequency (%)
255 956
1.4%
254 203
 
0.3%
253 126
 
0.2%
252 133
 
0.2%
251 135
 
0.2%

441
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.1456429
Minimum0
Maximum255
Zeros19373
Zeros (%)27.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:55.979583image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median144
Q3208
95-th percentile244
Maximum255
Range255
Interquartile range (IQR)208

Descriptive statistics

Standard deviation94.40183744
Coefficient of variation (CV)0.7857283477
Kurtosis-1.604618126
Mean120.1456429
Median Absolute Deviation (MAD)81
Skewness-0.1685568929
Sum8410195
Variance8911.706913
MonotonicityNot monotonic
2025-03-23T12:50:56.135792image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19373
27.7%
255 1458
 
2.1%
1 507
 
0.7%
222 496
 
0.7%
217 484
 
0.7%
213 482
 
0.7%
215 478
 
0.7%
219 477
 
0.7%
216 467
 
0.7%
220 467
 
0.7%
Other values (246) 45311
64.7%
ValueCountFrequency (%)
0 19373
27.7%
1 507
 
0.7%
2 388
 
0.6%
3 286
 
0.4%
4 159
 
0.2%
ValueCountFrequency (%)
255 1458
2.1%
254 243
 
0.3%
253 165
 
0.2%
252 150
 
0.2%
251 160
 
0.2%

442
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.9314143
Minimum0
Maximum255
Zeros21250
Zeros (%)30.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:56.276384image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median125
Q3203
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)203

Descriptive statistics

Standard deviation94.89321927
Coefficient of variation (CV)0.8554224237
Kurtosis-1.659954895
Mean110.9314143
Median Absolute Deviation (MAD)97
Skewness-0.02254628858
Sum7765199
Variance9004.723063
MonotonicityNot monotonic
2025-03-23T12:50:56.416939image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21250
30.4%
255 1107
 
1.6%
1 1038
 
1.5%
2 790
 
1.1%
3 587
 
0.8%
213 443
 
0.6%
216 439
 
0.6%
219 432
 
0.6%
222 429
 
0.6%
208 428
 
0.6%
Other values (246) 43057
61.5%
ValueCountFrequency (%)
0 21250
30.4%
1 1038
 
1.5%
2 790
 
1.1%
3 587
 
0.8%
4 314
 
0.4%
ValueCountFrequency (%)
255 1107
1.6%
254 199
 
0.3%
253 159
 
0.2%
252 122
 
0.2%
251 123
 
0.2%

443
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.9212
Minimum0
Maximum255
Zeros25269
Zeros (%)36.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:56.557531image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median83
Q3191
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)191

Descriptive statistics

Standard deviation93.10566087
Coefficient of variation (CV)0.9706473738
Kurtosis-1.589754502
Mean95.9212
Median Absolute Deviation (MAD)83
Skewness0.2460297798
Sum6714484
Variance8668.664086
MonotonicityNot monotonic
2025-03-23T12:50:56.713785image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25269
36.1%
1 1021
 
1.5%
255 829
 
1.2%
2 678
 
1.0%
3 423
 
0.6%
204 376
 
0.5%
206 359
 
0.5%
218 355
 
0.5%
211 351
 
0.5%
207 348
 
0.5%
Other values (246) 39991
57.1%
ValueCountFrequency (%)
0 25269
36.1%
1 1021
 
1.5%
2 678
 
1.0%
3 423
 
0.6%
4 243
 
0.3%
ValueCountFrequency (%)
255 829
1.2%
254 162
 
0.2%
253 121
 
0.2%
252 150
 
0.2%
251 94
 
0.1%

444
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.7761
Minimum0
Maximum255
Zeros34467
Zeros (%)49.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:56.854372image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q3167
95-th percentile227
Maximum255
Range255
Interquartile range (IQR)167

Descriptive statistics

Standard deviation89.23371884
Coefficient of variation (CV)1.209520683
Kurtosis-1.255131001
Mean73.7761
Median Absolute Deviation (MAD)1
Skewness0.655220833
Sum5164327
Variance7962.656578
MonotonicityNot monotonic
2025-03-23T12:50:57.010548image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34467
49.2%
1 601
 
0.9%
204 321
 
0.5%
2 308
 
0.4%
210 298
 
0.4%
208 293
 
0.4%
206 291
 
0.4%
255 291
 
0.4%
212 286
 
0.4%
207 286
 
0.4%
Other values (246) 32558
46.5%
ValueCountFrequency (%)
0 34467
49.2%
1 601
 
0.9%
2 308
 
0.4%
3 203
 
0.3%
4 126
 
0.2%
ValueCountFrequency (%)
255 291
0.4%
254 56
 
0.1%
253 67
 
0.1%
252 57
 
0.1%
251 35
 
0.1%

445
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.26011429
Minimum0
Maximum255
Zeros42580
Zeros (%)60.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:57.166772image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3148
95-th percentile224
Maximum255
Range255
Interquartile range (IQR)148

Descriptive statistics

Standard deviation87.60595239
Coefficient of variation (CV)1.430065115
Kurtosis-0.8762068137
Mean61.26011429
Median Absolute Deviation (MAD)0
Skewness0.9291131721
Sum4288208
Variance7674.802895
MonotonicityNot monotonic
2025-03-23T12:50:57.323012image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42580
60.8%
1 409
 
0.6%
200 275
 
0.4%
206 274
 
0.4%
210 273
 
0.4%
207 271
 
0.4%
209 267
 
0.4%
202 267
 
0.4%
208 266
 
0.4%
204 266
 
0.4%
Other values (246) 24852
35.5%
ValueCountFrequency (%)
0 42580
60.8%
1 409
 
0.6%
2 218
 
0.3%
3 141
 
0.2%
4 109
 
0.2%
ValueCountFrequency (%)
255 258
0.4%
254 64
 
0.1%
253 50
 
0.1%
252 36
 
0.1%
251 41
 
0.1%

446
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.36622857
Minimum0
Maximum255
Zeros46225
Zeros (%)66.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:57.463611image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3105
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)105

Descriptive statistics

Standard deviation86.52659841
Coefficient of variation (CV)1.62137368
Kurtosis-0.1452216096
Mean53.36622857
Median Absolute Deviation (MAD)0
Skewness1.238357459
Sum3735636
Variance7486.852232
MonotonicityNot monotonic
2025-03-23T12:50:57.604196image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46225
66.0%
255 1510
 
2.2%
1 338
 
0.5%
2 199
 
0.3%
224 176
 
0.3%
206 174
 
0.2%
207 173
 
0.2%
218 166
 
0.2%
219 164
 
0.2%
214 164
 
0.2%
Other values (246) 20711
29.6%
ValueCountFrequency (%)
0 46225
66.0%
1 338
 
0.5%
2 199
 
0.3%
3 137
 
0.2%
4 115
 
0.2%
ValueCountFrequency (%)
255 1510
2.2%
254 152
 
0.2%
253 94
 
0.1%
252 135
 
0.2%
251 96
 
0.1%

447
Real number (ℝ)

Zeros 

Distinct244
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.57822857
Minimum0
Maximum255
Zeros55342
Zeros (%)79.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:57.760409image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile106
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation37.30279674
Coefficient of variation (CV)2.558801747
Kurtosis8.546377194
Mean14.57822857
Median Absolute Deviation (MAD)0
Skewness2.943734982
Sum1020476
Variance1391.498645
MonotonicityNot monotonic
2025-03-23T12:50:57.904657image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55342
79.1%
1 475
 
0.7%
2 266
 
0.4%
3 178
 
0.3%
4 153
 
0.2%
14 146
 
0.2%
11 140
 
0.2%
5 138
 
0.2%
8 135
 
0.2%
41 132
 
0.2%
Other values (234) 12895
 
18.4%
ValueCountFrequency (%)
0 55342
79.1%
1 475
 
0.7%
2 266
 
0.4%
3 178
 
0.3%
4 153
 
0.2%
ValueCountFrequency (%)
255 3
< 0.1%
250 1
 
< 0.1%
249 1
 
< 0.1%
244 1
 
< 0.1%
243 1
 
< 0.1%

448
Real number (ℝ)

Zeros 

Distinct238
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.085385714
Minimum0
Maximum255
Zeros57379
Zeros (%)82.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:58.060920image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile77
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation29.3733172
Coefficient of variation (CV)3.233029188
Kurtosis15.81883202
Mean9.085385714
Median Absolute Deviation (MAD)0
Skewness3.875981553
Sum635977
Variance862.7917634
MonotonicityNot monotonic
2025-03-23T12:50:58.201506image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 57379
82.0%
1 1762
 
2.5%
2 929
 
1.3%
3 480
 
0.7%
4 332
 
0.5%
5 197
 
0.3%
6 173
 
0.2%
7 116
 
0.2%
17 106
 
0.2%
11 104
 
0.1%
Other values (228) 8422
 
12.0%
ValueCountFrequency (%)
0 57379
82.0%
1 1762
 
2.5%
2 929
 
1.3%
3 480
 
0.7%
4 332
 
0.5%
ValueCountFrequency (%)
255 1
< 0.1%
252 1
< 0.1%
243 1
< 0.1%
242 1
< 0.1%
240 2
< 0.1%

449
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.26781429
Minimum0
Maximum255
Zeros54446
Zeros (%)77.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:58.357681image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile182
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation57.81524649
Coefficient of variation (CV)2.484773421
Kurtosis5.083384557
Mean23.26781429
Median Absolute Deviation (MAD)0
Skewness2.507627378
Sum1628747
Variance3342.602727
MonotonicityNot monotonic
2025-03-23T12:50:58.513894image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54446
77.8%
1 1107
 
1.6%
2 652
 
0.9%
3 419
 
0.6%
4 279
 
0.4%
255 278
 
0.4%
5 203
 
0.3%
6 132
 
0.2%
7 126
 
0.2%
10 87
 
0.1%
Other values (246) 12271
 
17.5%
ValueCountFrequency (%)
0 54446
77.8%
1 1107
 
1.6%
2 652
 
0.9%
3 419
 
0.6%
4 279
 
0.4%
ValueCountFrequency (%)
255 278
0.4%
254 26
 
< 0.1%
253 20
 
< 0.1%
252 25
 
< 0.1%
251 15
 
< 0.1%

450
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.29668571
Minimum0
Maximum255
Zeros52214
Zeros (%)74.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:58.654530image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile188
Maximum255
Range255
Interquartile range (IQR)1

Descriptive statistics

Standard deviation61.07835635
Coefficient of variation (CV)2.237574077
Kurtosis3.378719196
Mean27.29668571
Median Absolute Deviation (MAD)0
Skewness2.172978712
Sum1910768
Variance3730.565614
MonotonicityNot monotonic
2025-03-23T12:50:58.795120image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 52214
74.6%
1 982
 
1.4%
2 582
 
0.8%
3 424
 
0.6%
4 327
 
0.5%
5 254
 
0.4%
6 184
 
0.3%
7 144
 
0.2%
255 113
 
0.2%
9 113
 
0.2%
Other values (246) 14663
 
20.9%
ValueCountFrequency (%)
0 52214
74.6%
1 982
 
1.4%
2 582
 
0.8%
3 424
 
0.6%
4 327
 
0.5%
ValueCountFrequency (%)
255 113
0.2%
254 28
 
< 0.1%
253 10
 
< 0.1%
252 14
 
< 0.1%
251 22
 
< 0.1%

451
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.15824286
Minimum0
Maximum255
Zeros46349
Zeros (%)66.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:58.935675image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q345
95-th percentile205
Maximum255
Range255
Interquartile range (IQR)45

Descriptive statistics

Standard deviation69.59614088
Coefficient of variation (CV)1.823882225
Kurtosis1.36255107
Mean38.15824286
Median Absolute Deviation (MAD)0
Skewness1.665775589
Sum2671077
Variance4843.622825
MonotonicityNot monotonic
2025-03-23T12:50:59.091925image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46349
66.2%
1 1006
 
1.4%
2 516
 
0.7%
3 394
 
0.6%
255 294
 
0.4%
4 288
 
0.4%
5 244
 
0.3%
6 193
 
0.3%
7 156
 
0.2%
8 116
 
0.2%
Other values (246) 20444
29.2%
ValueCountFrequency (%)
0 46349
66.2%
1 1006
 
1.4%
2 516
 
0.7%
3 394
 
0.6%
4 288
 
0.4%
ValueCountFrequency (%)
255 294
0.4%
254 37
 
0.1%
253 34
 
< 0.1%
252 33
 
< 0.1%
251 29
 
< 0.1%

452
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.1418
Minimum0
Maximum255
Zeros34463
Zeros (%)49.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:59.232512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q3125
95-th percentile224
Maximum255
Range255
Interquartile range (IQR)125

Descriptive statistics

Standard deviation81.74740513
Coefficient of variation (CV)1.337013387
Kurtosis-0.5805531411
Mean61.1418
Median Absolute Deviation (MAD)1
Skewness0.9676023099
Sum4279926
Variance6682.638245
MonotonicityNot monotonic
2025-03-23T12:50:59.388725image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34463
49.2%
1 1483
 
2.1%
2 861
 
1.2%
255 628
 
0.9%
3 576
 
0.8%
4 379
 
0.5%
5 299
 
0.4%
6 227
 
0.3%
195 171
 
0.2%
203 169
 
0.2%
Other values (246) 30744
43.9%
ValueCountFrequency (%)
0 34463
49.2%
1 1483
 
2.1%
2 861
 
1.2%
3 576
 
0.8%
4 379
 
0.5%
ValueCountFrequency (%)
255 628
0.9%
254 86
 
0.1%
253 73
 
0.1%
252 56
 
0.1%
251 55
 
0.1%

453
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.11848571
Minimum0
Maximum255
Zeros27421
Zeros (%)39.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:59.529280image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median37
Q3172
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)172

Descriptive statistics

Standard deviation90.76084892
Coefficient of variation (CV)1.105242603
Kurtosis-1.356591157
Mean82.11848571
Median Absolute Deviation (MAD)37
Skewness0.5174316716
Sum5748294
Variance8237.531697
MonotonicityNot monotonic
2025-03-23T12:50:59.669912image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27421
39.2%
1 1778
 
2.5%
2 1264
 
1.8%
255 953
 
1.4%
3 900
 
1.3%
4 608
 
0.9%
5 328
 
0.5%
205 274
 
0.4%
213 256
 
0.4%
216 253
 
0.4%
Other values (246) 35965
51.4%
ValueCountFrequency (%)
0 27421
39.2%
1 1778
 
2.5%
2 1264
 
1.8%
3 900
 
1.3%
4 608
 
0.9%
ValueCountFrequency (%)
255 953
1.4%
254 168
 
0.2%
253 129
 
0.2%
252 95
 
0.1%
251 91
 
0.1%

454
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.67688571
Minimum0
Maximum255
Zeros25710
Zeros (%)36.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:50:59.826087image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median71
Q3187
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)187

Descriptive statistics

Standard deviation93.39431891
Coefficient of variation (CV)1.007741231
Kurtosis-1.539427422
Mean92.67688571
Median Absolute Deviation (MAD)71
Skewness0.3212869185
Sum6487382
Variance8722.498804
MonotonicityNot monotonic
2025-03-23T12:50:59.966678image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25710
36.7%
255 1264
 
1.8%
1 1203
 
1.7%
2 878
 
1.3%
3 625
 
0.9%
4 383
 
0.5%
221 317
 
0.5%
212 315
 
0.4%
217 314
 
0.4%
211 307
 
0.4%
Other values (246) 38684
55.3%
ValueCountFrequency (%)
0 25710
36.7%
1 1203
 
1.7%
2 878
 
1.3%
3 625
 
0.9%
4 383
 
0.5%
ValueCountFrequency (%)
255 1264
1.8%
254 178
 
0.3%
253 144
 
0.2%
252 128
 
0.2%
251 113
 
0.2%

455
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.0683143
Minimum0
Maximum255
Zeros22160
Zeros (%)31.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:00.122927image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median95
Q3189
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)189

Descriptive statistics

Standard deviation91.87255115
Coefficient of variation (CV)0.9180983192
Kurtosis-1.548325233
Mean100.0683143
Median Absolute Deviation (MAD)95
Skewness0.1964176189
Sum7004782
Variance8440.565656
MonotonicityNot monotonic
2025-03-23T12:51:00.638431image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22160
31.7%
255 1132
 
1.6%
1 814
 
1.2%
2 581
 
0.8%
3 411
 
0.6%
223 329
 
0.5%
218 320
 
0.5%
221 310
 
0.4%
208 309
 
0.4%
210 309
 
0.4%
Other values (246) 43325
61.9%
ValueCountFrequency (%)
0 22160
31.7%
1 814
 
1.2%
2 581
 
0.8%
3 411
 
0.6%
4 268
 
0.4%
ValueCountFrequency (%)
255 1132
1.6%
254 224
 
0.3%
253 143
 
0.2%
252 164
 
0.2%
251 158
 
0.2%

456
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.7491
Minimum0
Maximum255
Zeros15373
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:00.778986image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19
median121
Q3193
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)184

Descriptive statistics

Standard deviation86.80156853
Coefficient of variation (CV)0.7698648462
Kurtosis-1.472064421
Mean112.7491
Median Absolute Deviation (MAD)83
Skewness-0.03824640076
Sum7892437
Variance7534.512299
MonotonicityNot monotonic
2025-03-23T12:51:00.935237image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15373
 
22.0%
255 907
 
1.3%
1 529
 
0.8%
214 361
 
0.5%
221 358
 
0.5%
219 356
 
0.5%
2 356
 
0.5%
205 356
 
0.5%
224 355
 
0.5%
210 354
 
0.5%
Other values (246) 50695
72.4%
ValueCountFrequency (%)
0 15373
22.0%
1 529
 
0.8%
2 356
 
0.5%
3 328
 
0.5%
4 231
 
0.3%
ValueCountFrequency (%)
255 907
1.3%
254 155
 
0.2%
253 114
 
0.2%
252 118
 
0.2%
251 103
 
0.1%

457
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean136.4420857
Minimum0
Maximum255
Zeros8317
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:01.091453image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q171
median155
Q3206
95-th percentile242
Maximum255
Range255
Interquartile range (IQR)135

Descriptive statistics

Standard deviation80.94645704
Coefficient of variation (CV)0.5932660485
Kurtosis-1.116088439
Mean136.4420857
Median Absolute Deviation (MAD)60
Skewness-0.4208313891
Sum9550946
Variance6552.328908
MonotonicityNot monotonic
2025-03-23T12:51:01.232041image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8317
 
11.9%
255 1511
 
2.2%
213 484
 
0.7%
214 469
 
0.7%
220 465
 
0.7%
222 464
 
0.7%
225 454
 
0.6%
221 454
 
0.6%
209 453
 
0.6%
204 440
 
0.6%
Other values (246) 56489
80.7%
ValueCountFrequency (%)
0 8317
11.9%
1 396
 
0.6%
2 290
 
0.4%
3 179
 
0.3%
4 164
 
0.2%
ValueCountFrequency (%)
255 1511
2.2%
254 238
 
0.3%
253 176
 
0.3%
252 147
 
0.2%
251 150
 
0.2%

458
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean150.8144714
Minimum0
Maximum255
Zeros4368
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:01.372633image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1102
median170
Q3210
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)108

Descriptive statistics

Standard deviation72.54806178
Coefficient of variation (CV)0.48104178
Kurtosis-0.6197441721
Mean150.8144714
Median Absolute Deviation (MAD)48
Skewness-0.6775865792
Sum10557013
Variance5263.221268
MonotonicityNot monotonic
2025-03-23T12:51:01.528809image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4368
 
6.2%
255 1129
 
1.6%
221 606
 
0.9%
220 579
 
0.8%
219 573
 
0.8%
225 565
 
0.8%
212 551
 
0.8%
222 544
 
0.8%
224 542
 
0.8%
218 540
 
0.8%
Other values (246) 60003
85.7%
ValueCountFrequency (%)
0 4368
6.2%
1 287
 
0.4%
2 161
 
0.2%
3 118
 
0.2%
4 91
 
0.1%
ValueCountFrequency (%)
255 1129
1.6%
254 168
 
0.2%
253 131
 
0.2%
252 95
 
0.1%
251 107
 
0.2%

459
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean155.4676
Minimum0
Maximum255
Zeros3294
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:01.669439image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1111
median175
Q3211
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)100

Descriptive statistics

Standard deviation69.10293313
Coefficient of variation (CV)0.4444844658
Kurtosis-0.3887740506
Mean155.4676
Median Absolute Deviation (MAD)44
Skewness-0.7814321471
Sum10882732
Variance4775.215368
MonotonicityNot monotonic
2025-03-23T12:51:01.810036image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3294
 
4.7%
219 626
 
0.9%
225 621
 
0.9%
226 616
 
0.9%
223 611
 
0.9%
218 606
 
0.9%
221 603
 
0.9%
255 603
 
0.9%
216 599
 
0.9%
222 598
 
0.9%
Other values (246) 61223
87.5%
ValueCountFrequency (%)
0 3294
4.7%
1 292
 
0.4%
2 170
 
0.2%
3 99
 
0.1%
4 73
 
0.1%
ValueCountFrequency (%)
255 603
0.9%
254 108
 
0.2%
253 88
 
0.1%
252 88
 
0.1%
251 76
 
0.1%

460
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean155.4725714
Minimum0
Maximum255
Zeros3514
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:01.950625image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1110
median175
Q3213
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)103

Descriptive statistics

Standard deviation70.52045098
Coefficient of variation (CV)0.4535877315
Kurtosis-0.4510112489
Mean155.4725714
Median Absolute Deviation (MAD)45
Skewness-0.7687015881
Sum10883080
Variance4973.134007
MonotonicityNot monotonic
2025-03-23T12:51:02.106838image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3514
 
5.0%
255 806
 
1.2%
222 642
 
0.9%
217 618
 
0.9%
221 612
 
0.9%
230 610
 
0.9%
220 602
 
0.9%
228 600
 
0.9%
225 599
 
0.9%
226 597
 
0.9%
Other values (246) 60800
86.9%
ValueCountFrequency (%)
0 3514
5.0%
1 274
 
0.4%
2 185
 
0.3%
3 123
 
0.2%
4 74
 
0.1%
ValueCountFrequency (%)
255 806
1.2%
254 124
 
0.2%
253 109
 
0.2%
252 104
 
0.1%
251 92
 
0.1%

461
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean147.4745
Minimum0
Maximum255
Zeros5619
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:02.247423image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q195
median169
Q3210
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)115

Descriptive statistics

Standard deviation75.11047027
Coefficient of variation (CV)0.5093115777
Kurtosis-0.7420729284
Mean147.4745
Median Absolute Deviation (MAD)49
Skewness-0.6754846429
Sum10323215
Variance5641.582744
MonotonicityNot monotonic
2025-03-23T12:51:02.403601image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5619
 
8.0%
226 614
 
0.9%
216 598
 
0.9%
222 592
 
0.8%
228 577
 
0.8%
218 576
 
0.8%
219 573
 
0.8%
211 563
 
0.8%
221 560
 
0.8%
223 560
 
0.8%
Other values (246) 59168
84.5%
ValueCountFrequency (%)
0 5619
8.0%
1 389
 
0.6%
2 279
 
0.4%
3 155
 
0.2%
4 126
 
0.2%
ValueCountFrequency (%)
255 541
0.8%
254 91
 
0.1%
253 87
 
0.1%
252 62
 
0.1%
251 76
 
0.1%

462
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142.7250429
Minimum0
Maximum255
Zeros8121
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:02.544194image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q185
median166.5
Q3209
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)124

Descriptive statistics

Standard deviation78.92293961
Coefficient of variation (CV)0.5529719104
Kurtosis-0.9294255203
Mean142.7250429
Median Absolute Deviation (MAD)52.5
Skewness-0.620291107
Sum9990753
Variance6228.830396
MonotonicityNot monotonic
2025-03-23T12:51:02.700445image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8121
 
11.6%
219 597
 
0.9%
225 586
 
0.8%
222 583
 
0.8%
218 579
 
0.8%
221 577
 
0.8%
215 568
 
0.8%
223 565
 
0.8%
214 561
 
0.8%
220 558
 
0.8%
Other values (246) 56705
81.0%
ValueCountFrequency (%)
0 8121
11.6%
1 354
 
0.5%
2 242
 
0.3%
3 155
 
0.2%
4 126
 
0.2%
ValueCountFrequency (%)
255 423
0.6%
254 86
 
0.1%
253 59
 
0.1%
252 48
 
0.1%
251 65
 
0.1%

463
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean155.7805143
Minimum0
Maximum255
Zeros3734
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:02.841040image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1109
median177
Q3214
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)105

Descriptive statistics

Standard deviation71.68273116
Coefficient of variation (CV)0.4601521024
Kurtosis-0.4953435534
Mean155.7805143
Median Absolute Deviation (MAD)45
Skewness-0.7660415204
Sum10904636
Variance5138.413946
MonotonicityNot monotonic
2025-03-23T12:51:02.981592image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3734
 
5.3%
255 954
 
1.4%
217 645
 
0.9%
228 637
 
0.9%
219 624
 
0.9%
218 620
 
0.9%
225 620
 
0.9%
224 619
 
0.9%
223 615
 
0.9%
221 615
 
0.9%
Other values (246) 60317
86.2%
ValueCountFrequency (%)
0 3734
5.3%
1 210
 
0.3%
2 142
 
0.2%
3 88
 
0.1%
4 87
 
0.1%
ValueCountFrequency (%)
255 954
1.4%
254 159
 
0.2%
253 135
 
0.2%
252 110
 
0.2%
251 85
 
0.1%

464
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean161.7401286
Minimum0
Maximum255
Zeros2474
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:03.137841image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17
Q1120
median182
Q3215
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)95

Descriptive statistics

Standard deviation67.46748101
Coefficient of variation (CV)0.4171350771
Kurtosis-0.2163332993
Mean161.7401286
Median Absolute Deviation (MAD)40
Skewness-0.8681746555
Sum11321809
Variance4551.860993
MonotonicityNot monotonic
2025-03-23T12:51:03.278437image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2474
 
3.5%
255 702
 
1.0%
228 692
 
1.0%
229 675
 
1.0%
223 671
 
1.0%
221 666
 
1.0%
225 665
 
0.9%
224 661
 
0.9%
215 649
 
0.9%
213 649
 
0.9%
Other values (246) 61496
87.9%
ValueCountFrequency (%)
0 2474
3.5%
1 153
 
0.2%
2 85
 
0.1%
3 75
 
0.1%
4 70
 
0.1%
ValueCountFrequency (%)
255 702
1.0%
254 130
 
0.2%
253 111
 
0.2%
252 115
 
0.2%
251 99
 
0.1%

465
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean160.6420714
Minimum0
Maximum255
Zeros2101
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:03.434645image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile23
Q1118
median180
Q3214
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)96

Descriptive statistics

Standard deviation66.61353857
Coefficient of variation (CV)0.4146705653
Kurtosis-0.2907284072
Mean160.6420714
Median Absolute Deviation (MAD)41
Skewness-0.825931614
Sum11244945
Variance4437.363521
MonotonicityNot monotonic
2025-03-23T12:51:03.590864image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2101
 
3.0%
226 704
 
1.0%
222 685
 
1.0%
224 673
 
1.0%
229 668
 
1.0%
219 657
 
0.9%
218 650
 
0.9%
228 650
 
0.9%
216 648
 
0.9%
221 644
 
0.9%
Other values (246) 61920
88.5%
ValueCountFrequency (%)
0 2101
3.0%
1 135
 
0.2%
2 86
 
0.1%
3 61
 
0.1%
4 52
 
0.1%
ValueCountFrequency (%)
255 629
0.9%
254 124
 
0.2%
253 107
 
0.2%
252 90
 
0.1%
251 100
 
0.1%

466
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean157.4654571
Minimum0
Maximum255
Zeros2934
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:03.731454image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q1110
median178
Q3214
95-th percentile243
Maximum255
Range255
Interquartile range (IQR)104

Descriptive statistics

Standard deviation70.60873803
Coefficient of variation (CV)0.4484077925
Kurtosis-0.5059735798
Mean157.4654571
Median Absolute Deviation (MAD)45
Skewness-0.7350713859
Sum11022582
Variance4985.593887
MonotonicityNot monotonic
2025-03-23T12:51:03.887664image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2934
 
4.2%
255 1431
 
2.0%
217 617
 
0.9%
216 614
 
0.9%
215 613
 
0.9%
218 610
 
0.9%
227 604
 
0.9%
224 598
 
0.9%
213 595
 
0.9%
223 592
 
0.8%
Other values (246) 60792
86.8%
ValueCountFrequency (%)
0 2934
4.2%
1 125
 
0.2%
2 109
 
0.2%
3 58
 
0.1%
4 64
 
0.1%
ValueCountFrequency (%)
255 1431
2.0%
254 238
 
0.3%
253 210
 
0.3%
252 196
 
0.3%
251 142
 
0.2%

467
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean138.5293857
Minimum0
Maximum255
Zeros7969
Zeros (%)11.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:04.043884image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q171
median160
Q3208
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)137

Descriptive statistics

Standard deviation80.98614064
Coefficient of variation (CV)0.5846134394
Kurtosis-1.128225695
Mean138.5293857
Median Absolute Deviation (MAD)59
Skewness-0.4597845198
Sum9697057
Variance6558.754976
MonotonicityNot monotonic
2025-03-23T12:51:04.184470image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7969
 
11.4%
255 1065
 
1.5%
216 540
 
0.8%
211 534
 
0.8%
214 527
 
0.8%
208 523
 
0.7%
219 511
 
0.7%
215 510
 
0.7%
209 508
 
0.7%
213 506
 
0.7%
Other values (246) 56807
81.2%
ValueCountFrequency (%)
0 7969
11.4%
1 183
 
0.3%
2 156
 
0.2%
3 137
 
0.2%
4 104
 
0.1%
ValueCountFrequency (%)
255 1065
1.5%
254 194
 
0.3%
253 143
 
0.2%
252 118
 
0.2%
251 129
 
0.2%

468
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.2272857
Minimum0
Maximum255
Zeros14936
Zeros (%)21.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:04.340685image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120
median142
Q3205
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)185

Descriptive statistics

Standard deviation89.08656964
Coefficient of variation (CV)0.7229451588
Kurtosis-1.480007214
Mean123.2272857
Median Absolute Deviation (MAD)76
Skewness-0.2131906431
Sum8625910
Variance7936.41689
MonotonicityNot monotonic
2025-03-23T12:51:04.481280image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14936
 
21.3%
255 990
 
1.4%
213 464
 
0.7%
212 456
 
0.7%
222 456
 
0.7%
219 454
 
0.6%
209 452
 
0.6%
207 447
 
0.6%
214 446
 
0.6%
225 444
 
0.6%
Other values (246) 50455
72.1%
ValueCountFrequency (%)
0 14936
21.3%
1 293
 
0.4%
2 222
 
0.3%
3 186
 
0.3%
4 147
 
0.2%
ValueCountFrequency (%)
255 990
1.4%
254 192
 
0.3%
253 156
 
0.2%
252 146
 
0.2%
251 115
 
0.2%

469
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.5713286
Minimum0
Maximum255
Zeros19731
Zeros (%)28.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:04.637493image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median139
Q3208
95-th percentile245
Maximum255
Range255
Interquartile range (IQR)208

Descriptive statistics

Standard deviation94.75474661
Coefficient of variation (CV)0.7991370911
Kurtosis-1.615170397
Mean118.5713286
Median Absolute Deviation (MAD)86
Skewness-0.1302503562
Sum8299993
Variance8978.462005
MonotonicityNot monotonic
2025-03-23T12:51:04.778084image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19731
28.2%
255 1643
 
2.3%
217 478
 
0.7%
213 462
 
0.7%
1 457
 
0.7%
215 455
 
0.7%
224 451
 
0.6%
219 448
 
0.6%
212 441
 
0.6%
216 441
 
0.6%
Other values (246) 44993
64.3%
ValueCountFrequency (%)
0 19731
28.2%
1 457
 
0.7%
2 397
 
0.6%
3 312
 
0.4%
4 161
 
0.2%
ValueCountFrequency (%)
255 1643
2.3%
254 264
 
0.4%
253 185
 
0.3%
252 196
 
0.3%
251 170
 
0.2%

470
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.2653714
Minimum0
Maximum255
Zeros21289
Zeros (%)30.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:04.918673image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median123
Q3202
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)202

Descriptive statistics

Standard deviation94.94371572
Coefficient of variation (CV)0.8610474393
Kurtosis-1.654499313
Mean110.2653714
Median Absolute Deviation (MAD)100
Skewness-0.002868144278
Sum7718576
Variance9014.309154
MonotonicityNot monotonic
2025-03-23T12:51:05.074846image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21289
30.4%
255 1209
 
1.7%
1 1010
 
1.4%
2 766
 
1.1%
3 611
 
0.9%
213 434
 
0.6%
217 432
 
0.6%
219 430
 
0.6%
221 411
 
0.6%
220 411
 
0.6%
Other values (246) 42997
61.4%
ValueCountFrequency (%)
0 21289
30.4%
1 1010
 
1.4%
2 766
 
1.1%
3 611
 
0.9%
4 357
 
0.5%
ValueCountFrequency (%)
255 1209
1.7%
254 224
 
0.3%
253 172
 
0.2%
252 147
 
0.2%
251 109
 
0.2%

471
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.56131429
Minimum0
Maximum255
Zeros24937
Zeros (%)35.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:05.215475image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median85
Q3191
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)191

Descriptive statistics

Standard deviation92.92441105
Coefficient of variation (CV)0.9623358146
Kurtosis-1.581393304
Mean96.56131429
Median Absolute Deviation (MAD)85
Skewness0.2395199235
Sum6759292
Variance8634.946168
MonotonicityNot monotonic
2025-03-23T12:51:05.371693image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24937
35.6%
1 955
 
1.4%
255 877
 
1.3%
2 606
 
0.9%
3 429
 
0.6%
214 343
 
0.5%
221 341
 
0.5%
211 339
 
0.5%
227 337
 
0.5%
209 336
 
0.5%
Other values (246) 40500
57.9%
ValueCountFrequency (%)
0 24937
35.6%
1 955
 
1.4%
2 606
 
0.9%
3 429
 
0.6%
4 281
 
0.4%
ValueCountFrequency (%)
255 877
1.3%
254 173
 
0.2%
253 138
 
0.2%
252 106
 
0.2%
251 94
 
0.1%

472
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.1063
Minimum0
Maximum255
Zeros33784
Zeros (%)48.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:05.512280image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q3166
95-th percentile228
Maximum255
Range255
Interquartile range (IQR)166

Descriptive statistics

Standard deviation88.9768632
Coefficient of variation (CV)1.184679091
Kurtosis-1.262620599
Mean75.1063
Median Absolute Deviation (MAD)7
Skewness0.6318969359
Sum5257441
Variance7916.882184
MonotonicityNot monotonic
2025-03-23T12:51:05.668496image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33784
48.3%
1 460
 
0.7%
255 352
 
0.5%
208 307
 
0.4%
213 300
 
0.4%
198 288
 
0.4%
203 279
 
0.4%
201 277
 
0.4%
210 275
 
0.4%
206 273
 
0.4%
Other values (246) 33405
47.7%
ValueCountFrequency (%)
0 33784
48.3%
1 460
 
0.7%
2 241
 
0.3%
3 151
 
0.2%
4 113
 
0.2%
ValueCountFrequency (%)
255 352
0.5%
254 68
 
0.1%
253 87
 
0.1%
252 48
 
0.1%
251 37
 
0.1%

473
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.68111429
Minimum0
Maximum255
Zeros42005
Zeros (%)60.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:06.199616image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3147
95-th percentile223
Maximum255
Range255
Interquartile range (IQR)147

Descriptive statistics

Standard deviation86.94246166
Coefficient of variation (CV)1.40954752
Kurtosis-0.8819258601
Mean61.68111429
Median Absolute Deviation (MAD)0
Skewness0.9161658712
Sum4317678
Variance7558.99164
MonotonicityNot monotonic
2025-03-23T12:51:06.355837image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42005
60.0%
255 284
 
0.4%
1 279
 
0.4%
205 272
 
0.4%
209 271
 
0.4%
200 270
 
0.4%
204 268
 
0.4%
196 268
 
0.4%
195 266
 
0.4%
207 263
 
0.4%
Other values (246) 25554
36.5%
ValueCountFrequency (%)
0 42005
60.0%
1 279
 
0.4%
2 132
 
0.2%
3 111
 
0.2%
4 81
 
0.1%
ValueCountFrequency (%)
255 284
0.4%
254 41
 
0.1%
253 43
 
0.1%
252 45
 
0.1%
251 41
 
0.1%

474
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.1679
Minimum0
Maximum255
Zeros45585
Zeros (%)65.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:06.496421image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3107
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)107

Descriptive statistics

Standard deviation86.45293962
Coefficient of variation (CV)1.59601793
Kurtosis-0.1746367379
Mean54.1679
Median Absolute Deviation (MAD)0
Skewness1.220507767
Sum3791753
Variance7474.110768
MonotonicityNot monotonic
2025-03-23T12:51:06.637016image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45585
65.1%
255 1483
 
2.1%
1 225
 
0.3%
217 184
 
0.3%
230 178
 
0.3%
202 176
 
0.3%
228 170
 
0.2%
220 168
 
0.2%
211 163
 
0.2%
219 162
 
0.2%
Other values (246) 21506
30.7%
ValueCountFrequency (%)
0 45585
65.1%
1 225
 
0.3%
2 147
 
0.2%
3 111
 
0.2%
4 86
 
0.1%
ValueCountFrequency (%)
255 1483
2.1%
254 133
 
0.2%
253 127
 
0.2%
252 111
 
0.2%
251 97
 
0.1%

475
Real number (ℝ)

Zeros 

Distinct246
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.30608571
Minimum0
Maximum255
Zeros54191
Zeros (%)77.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:06.793190image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile107
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation37.31070622
Coefficient of variation (CV)2.437638657
Kurtosis7.832591783
Mean15.30608571
Median Absolute Deviation (MAD)0
Skewness2.814317604
Sum1071426
Variance1392.088799
MonotonicityNot monotonic
2025-03-23T12:51:06.933819image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54191
77.4%
1 389
 
0.6%
2 260
 
0.4%
3 202
 
0.3%
4 166
 
0.2%
37 153
 
0.2%
33 150
 
0.2%
12 150
 
0.2%
5 149
 
0.2%
25 147
 
0.2%
Other values (236) 14043
 
20.1%
ValueCountFrequency (%)
0 54191
77.4%
1 389
 
0.6%
2 260
 
0.4%
3 202
 
0.3%
4 166
 
0.2%
ValueCountFrequency (%)
255 8
< 0.1%
254 1
 
< 0.1%
253 1
 
< 0.1%
252 1
 
< 0.1%
250 1
 
< 0.1%

476
Real number (ℝ)

Zeros 

Distinct235
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.3454
Minimum0
Maximum255
Zeros57332
Zeros (%)81.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:07.074432image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile76
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28.99456442
Coefficient of variation (CV)3.10254932
Kurtosis15.33131787
Mean9.3454
Median Absolute Deviation (MAD)0
Skewness3.789171649
Sum654178
Variance840.6847658
MonotonicityNot monotonic
2025-03-23T12:51:07.230626image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 57332
81.9%
1 1264
 
1.8%
2 643
 
0.9%
3 415
 
0.6%
4 256
 
0.4%
5 175
 
0.2%
8 145
 
0.2%
6 140
 
0.2%
10 129
 
0.2%
7 125
 
0.2%
Other values (225) 9376
 
13.4%
ValueCountFrequency (%)
0 57332
81.9%
1 1264
 
1.8%
2 643
 
0.9%
3 415
 
0.6%
4 256
 
0.4%
ValueCountFrequency (%)
255 2
< 0.1%
248 1
< 0.1%
237 1
< 0.1%
236 1
< 0.1%
235 1
< 0.1%

477
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.5812
Minimum0
Maximum255
Zeros52907
Zeros (%)75.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:07.386837image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile183
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation59.01394788
Coefficient of variation (CV)2.306926488
Kurtosis4.238511703
Mean25.5812
Median Absolute Deviation (MAD)0
Skewness2.328050575
Sum1790684
Variance3482.646044
MonotonicityNot monotonic
2025-03-23T12:51:07.527430image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 52907
75.6%
1 823
 
1.2%
2 528
 
0.8%
3 342
 
0.5%
255 298
 
0.4%
4 241
 
0.3%
5 198
 
0.3%
6 142
 
0.2%
7 121
 
0.2%
9 101
 
0.1%
Other values (246) 14299
 
20.4%
ValueCountFrequency (%)
0 52907
75.6%
1 823
 
1.2%
2 528
 
0.8%
3 342
 
0.5%
4 241
 
0.3%
ValueCountFrequency (%)
255 298
0.4%
254 27
 
< 0.1%
253 19
 
< 0.1%
252 25
 
< 0.1%
251 13
 
< 0.1%

478
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.9625
Minimum0
Maximum255
Zeros50244
Zeros (%)71.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:07.683645image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37
95-th percentile192
Maximum255
Range255
Interquartile range (IQR)7

Descriptive statistics

Standard deviation63.51632061
Coefficient of variation (CV)2.051395094
Kurtosis2.485467665
Mean30.9625
Median Absolute Deviation (MAD)0
Skewness1.959946441
Sum2167375
Variance4034.322984
MonotonicityNot monotonic
2025-03-23T12:51:07.824213image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 50244
71.8%
1 757
 
1.1%
2 471
 
0.7%
3 347
 
0.5%
4 262
 
0.4%
5 213
 
0.3%
6 169
 
0.2%
7 134
 
0.2%
255 127
 
0.2%
183 104
 
0.1%
Other values (246) 17172
 
24.5%
ValueCountFrequency (%)
0 50244
71.8%
1 757
 
1.1%
2 471
 
0.7%
3 347
 
0.5%
4 262
 
0.4%
ValueCountFrequency (%)
255 127
0.2%
254 19
 
< 0.1%
253 22
 
< 0.1%
252 23
 
< 0.1%
251 22
 
< 0.1%

479
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.61
Minimum0
Maximum255
Zeros44207
Zeros (%)63.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:07.964827image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q368
95-th percentile208
Maximum255
Range255
Interquartile range (IQR)68

Descriptive statistics

Standard deviation71.87806396
Coefficient of variation (CV)1.686882515
Kurtosis0.7940492199
Mean42.61
Median Absolute Deviation (MAD)0
Skewness1.489967007
Sum2982700
Variance5166.456078
MonotonicityNot monotonic
2025-03-23T12:51:08.121044image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 44207
63.2%
1 822
 
1.2%
2 427
 
0.6%
3 314
 
0.4%
255 296
 
0.4%
4 262
 
0.4%
5 205
 
0.3%
6 162
 
0.2%
7 131
 
0.2%
52 129
 
0.2%
Other values (246) 23045
32.9%
ValueCountFrequency (%)
0 44207
63.2%
1 822
 
1.2%
2 427
 
0.6%
3 314
 
0.4%
4 262
 
0.4%
ValueCountFrequency (%)
255 296
0.4%
254 32
 
< 0.1%
253 27
 
< 0.1%
252 36
 
0.1%
251 20
 
< 0.1%

480
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.01255714
Minimum0
Maximum255
Zeros32823
Zeros (%)46.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:08.277228image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q3135
95-th percentile226
Maximum255
Range255
Interquartile range (IQR)135

Descriptive statistics

Standard deviation83.08654243
Coefficient of variation (CV)1.258647537
Kurtosis-0.7948869768
Mean66.01255714
Median Absolute Deviation (MAD)3
Skewness0.8499348312
Sum4620879
Variance6903.373533
MonotonicityNot monotonic
2025-03-23T12:51:08.417850image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32823
46.9%
1 1156
 
1.7%
255 652
 
0.9%
2 642
 
0.9%
3 448
 
0.6%
4 367
 
0.5%
5 263
 
0.4%
6 197
 
0.3%
204 193
 
0.3%
205 187
 
0.3%
Other values (246) 33072
47.2%
ValueCountFrequency (%)
0 32823
46.9%
1 1156
 
1.7%
2 642
 
0.9%
3 448
 
0.6%
4 367
 
0.5%
ValueCountFrequency (%)
255 652
0.9%
254 117
 
0.2%
253 87
 
0.1%
252 67
 
0.1%
251 50
 
0.1%

481
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.69517143
Minimum0
Maximum255
Zeros26121
Zeros (%)37.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:08.574056image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median53
Q3176
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)176

Descriptive statistics

Standard deviation91.12368338
Coefficient of variation (CV)1.063346766
Kurtosis-1.41149747
Mean85.69517143
Median Absolute Deviation (MAD)53
Skewness0.4525270588
Sum5998662
Variance8303.525673
MonotonicityNot monotonic
2025-03-23T12:51:08.730272image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26121
37.3%
1 1515
 
2.2%
2 1151
 
1.6%
255 995
 
1.4%
3 867
 
1.2%
4 535
 
0.8%
5 333
 
0.5%
216 286
 
0.4%
199 285
 
0.4%
201 283
 
0.4%
Other values (246) 37629
53.8%
ValueCountFrequency (%)
0 26121
37.3%
1 1515
 
2.2%
2 1151
 
1.6%
3 867
 
1.2%
4 535
 
0.8%
ValueCountFrequency (%)
255 995
1.4%
254 183
 
0.3%
253 151
 
0.2%
252 103
 
0.1%
251 89
 
0.1%

482
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.18652857
Minimum0
Maximum255
Zeros24362
Zeros (%)34.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:08.870828image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median82
Q3189
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)189

Descriptive statistics

Standard deviation93.62404399
Coefficient of variation (CV)0.9733592155
Kurtosis-1.559485628
Mean96.18652857
Median Absolute Deviation (MAD)82
Skewness0.2673532003
Sum6733057
Variance8765.461614
MonotonicityNot monotonic
2025-03-23T12:51:09.027076image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24362
34.8%
255 1460
 
2.1%
1 1033
 
1.5%
2 776
 
1.1%
3 578
 
0.8%
4 383
 
0.5%
216 327
 
0.5%
223 317
 
0.5%
208 316
 
0.5%
211 314
 
0.4%
Other values (246) 40134
57.3%
ValueCountFrequency (%)
0 24362
34.8%
1 1033
 
1.5%
2 776
 
1.1%
3 578
 
0.8%
4 383
 
0.5%
ValueCountFrequency (%)
255 1460
2.1%
254 210
 
0.3%
253 147
 
0.2%
252 134
 
0.2%
251 132
 
0.2%

483
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.2559571
Minimum0
Maximum255
Zeros20719
Zeros (%)29.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:09.167676image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median100
Q3190
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)190

Descriptive statistics

Standard deviation90.83372877
Coefficient of variation (CV)0.8882976729
Kurtosis-1.537185792
Mean102.2559571
Median Absolute Deviation (MAD)100
Skewness0.1612955454
Sum7157917
Variance8250.766283
MonotonicityNot monotonic
2025-03-23T12:51:09.323882image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20719
29.6%
255 1089
 
1.6%
1 575
 
0.8%
2 468
 
0.7%
3 356
 
0.5%
216 333
 
0.5%
213 329
 
0.5%
211 327
 
0.5%
222 327
 
0.5%
219 325
 
0.5%
Other values (246) 45152
64.5%
ValueCountFrequency (%)
0 20719
29.6%
1 575
 
0.8%
2 468
 
0.7%
3 356
 
0.5%
4 248
 
0.4%
ValueCountFrequency (%)
255 1089
1.6%
254 239
 
0.3%
253 133
 
0.2%
252 142
 
0.2%
251 142
 
0.2%

484
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.22
Minimum0
Maximum255
Zeros13881
Zeros (%)19.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:09.464478image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q123
median126
Q3195
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)172

Descriptive statistics

Standard deviation85.85761448
Coefficient of variation (CV)0.7387507699
Kurtosis-1.437613318
Mean116.22
Median Absolute Deviation (MAD)79
Skewness-0.08498122944
Sum8135400
Variance7371.529965
MonotonicityNot monotonic
2025-03-23T12:51:09.620650image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13881
 
19.8%
255 965
 
1.4%
209 393
 
0.6%
1 383
 
0.5%
215 375
 
0.5%
205 370
 
0.5%
227 369
 
0.5%
220 367
 
0.5%
208 365
 
0.5%
213 362
 
0.5%
Other values (246) 52170
74.5%
ValueCountFrequency (%)
0 13881
19.8%
1 383
 
0.5%
2 312
 
0.4%
3 265
 
0.4%
4 198
 
0.3%
ValueCountFrequency (%)
255 965
1.4%
254 172
 
0.2%
253 125
 
0.2%
252 113
 
0.2%
251 111
 
0.2%

485
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean140.3325
Minimum0
Maximum255
Zeros7207
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:09.776899image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q179
median159
Q3208
95-th percentile244
Maximum255
Range255
Interquartile range (IQR)129

Descriptive statistics

Standard deviation79.34586314
Coefficient of variation (CV)0.5654133087
Kurtosis-1.028384697
Mean140.3325
Median Absolute Deviation (MAD)58
Skewness-0.4689175325
Sum9823275
Variance6295.765998
MonotonicityNot monotonic
2025-03-23T12:51:09.917495image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7207
 
10.3%
255 1604
 
2.3%
217 490
 
0.7%
221 482
 
0.7%
215 479
 
0.7%
219 476
 
0.7%
222 471
 
0.7%
220 471
 
0.7%
218 469
 
0.7%
205 465
 
0.7%
Other values (246) 57386
82.0%
ValueCountFrequency (%)
0 7207
10.3%
1 276
 
0.4%
2 184
 
0.3%
3 156
 
0.2%
4 132
 
0.2%
ValueCountFrequency (%)
255 1604
2.3%
254 267
 
0.4%
253 201
 
0.3%
252 157
 
0.2%
251 149
 
0.2%

486
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153.4276857
Minimum0
Maximum255
Zeros3403
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:10.073705image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1106
median172
Q3211
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)105

Descriptive statistics

Standard deviation70.63289328
Coefficient of variation (CV)0.4603660217
Kurtosis-0.5502609279
Mean153.4276857
Median Absolute Deviation (MAD)47
Skewness-0.7006539226
Sum10739938
Variance4989.005614
MonotonicityNot monotonic
2025-03-23T12:51:10.214297image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3403
 
4.9%
255 1032
 
1.5%
221 610
 
0.9%
223 596
 
0.9%
219 585
 
0.8%
225 582
 
0.8%
222 579
 
0.8%
211 561
 
0.8%
218 560
 
0.8%
215 557
 
0.8%
Other values (246) 60935
87.1%
ValueCountFrequency (%)
0 3403
4.9%
1 240
 
0.3%
2 150
 
0.2%
3 93
 
0.1%
4 75
 
0.1%
ValueCountFrequency (%)
255 1032
1.5%
254 153
 
0.2%
253 161
 
0.2%
252 81
 
0.1%
251 108
 
0.2%

487
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean157.2940857
Minimum0
Maximum255
Zeros2732
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:10.354894image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q1114
median176
Q3212
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)98

Descriptive statistics

Standard deviation68.10979213
Coefficient of variation (CV)0.4330092376
Kurtosis-0.3595262639
Mean157.2940857
Median Absolute Deviation (MAD)43
Skewness-0.7942903442
Sum11010586
Variance4638.943784
MonotonicityNot monotonic
2025-03-23T12:51:10.511107image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2732
 
3.9%
222 663
 
0.9%
221 646
 
0.9%
225 625
 
0.9%
219 622
 
0.9%
216 620
 
0.9%
224 619
 
0.9%
218 619
 
0.9%
229 616
 
0.9%
213 610
 
0.9%
Other values (246) 61628
88.0%
ValueCountFrequency (%)
0 2732
3.9%
1 191
 
0.3%
2 151
 
0.2%
3 104
 
0.1%
4 61
 
0.1%
ValueCountFrequency (%)
255 572
0.8%
254 99
 
0.1%
253 78
 
0.1%
252 91
 
0.1%
251 79
 
0.1%

488
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean156.6349143
Minimum0
Maximum255
Zeros3108
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:10.651701image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q1111
median176
Q3213
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)102

Descriptive statistics

Standard deviation69.75242927
Coefficient of variation (CV)0.4453185268
Kurtosis-0.4394195136
Mean156.6349143
Median Absolute Deviation (MAD)45
Skewness-0.767727144
Sum10964444
Variance4865.40139
MonotonicityNot monotonic
2025-03-23T12:51:10.807869image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3108
 
4.4%
255 762
 
1.1%
223 648
 
0.9%
226 629
 
0.9%
228 620
 
0.9%
224 619
 
0.9%
221 610
 
0.9%
217 608
 
0.9%
222 603
 
0.9%
229 602
 
0.9%
Other values (246) 61191
87.4%
ValueCountFrequency (%)
0 3108
4.4%
1 221
 
0.3%
2 153
 
0.2%
3 82
 
0.1%
4 75
 
0.1%
ValueCountFrequency (%)
255 762
1.1%
254 151
 
0.2%
253 126
 
0.2%
252 105
 
0.1%
251 87
 
0.1%

489
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean147.4351143
Minimum0
Maximum255
Zeros5479
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:10.964123image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q194
median169
Q3210
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)116

Descriptive statistics

Standard deviation75.1708131
Coefficient of variation (CV)0.5098569188
Kurtosis-0.773092644
Mean147.4351143
Median Absolute Deviation (MAD)50
Skewness-0.6594739641
Sum10320458
Variance5650.651142
MonotonicityNot monotonic
2025-03-23T12:51:11.104674image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5479
 
7.8%
220 617
 
0.9%
223 608
 
0.9%
221 603
 
0.9%
229 593
 
0.8%
217 584
 
0.8%
227 581
 
0.8%
218 581
 
0.8%
225 575
 
0.8%
226 572
 
0.8%
Other values (246) 59207
84.6%
ValueCountFrequency (%)
0 5479
7.8%
1 301
 
0.4%
2 200
 
0.3%
3 140
 
0.2%
4 110
 
0.2%
ValueCountFrequency (%)
255 529
0.8%
254 90
 
0.1%
253 90
 
0.1%
252 75
 
0.1%
251 61
 
0.1%

490
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142.8526429
Minimum0
Maximum255
Zeros7802
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:11.245302image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q184
median167
Q3209
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)125

Descriptive statistics

Standard deviation78.66430022
Coefficient of variation (CV)0.5506674476
Kurtosis-0.9400335668
Mean142.8526429
Median Absolute Deviation (MAD)52
Skewness-0.6095184758
Sum9999685
Variance6188.07213
MonotonicityNot monotonic
2025-03-23T12:51:11.401522image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7802
 
11.1%
221 610
 
0.9%
222 607
 
0.9%
224 606
 
0.9%
225 585
 
0.8%
227 585
 
0.8%
218 567
 
0.8%
228 565
 
0.8%
215 564
 
0.8%
219 561
 
0.8%
Other values (246) 56948
81.4%
ValueCountFrequency (%)
0 7802
11.1%
1 260
 
0.4%
2 198
 
0.3%
3 146
 
0.2%
4 126
 
0.2%
ValueCountFrequency (%)
255 429
0.6%
254 77
 
0.1%
253 66
 
0.1%
252 68
 
0.1%
251 68
 
0.1%

491
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.7079714
Minimum0
Maximum255
Zeros3477
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:11.542110image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1106
median175
Q3213
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)107

Descriptive statistics

Standard deviation71.55123977
Coefficient of variation (CV)0.4624922628
Kurtosis-0.564891973
Mean154.7079714
Median Absolute Deviation (MAD)46
Skewness-0.7312359641
Sum10829558
Variance5119.579913
MonotonicityNot monotonic
2025-03-23T12:51:11.682707image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3477
 
5.0%
255 880
 
1.3%
224 653
 
0.9%
228 646
 
0.9%
229 641
 
0.9%
225 637
 
0.9%
218 635
 
0.9%
220 624
 
0.9%
222 623
 
0.9%
227 620
 
0.9%
Other values (246) 60564
86.5%
ValueCountFrequency (%)
0 3477
5.0%
1 170
 
0.2%
2 119
 
0.2%
3 80
 
0.1%
4 83
 
0.1%
ValueCountFrequency (%)
255 880
1.3%
254 116
 
0.2%
253 125
 
0.2%
252 85
 
0.1%
251 90
 
0.1%

492
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean161.2368
Minimum0
Maximum255
Zeros2023
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:12.198205image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile22
Q1118
median181
Q3215
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)97

Descriptive statistics

Standard deviation67.10252492
Coefficient of variation (CV)0.4161737576
Kurtosis-0.3079339189
Mean161.2368
Median Absolute Deviation (MAD)41
Skewness-0.8267767785
Sum11286576
Variance4502.748851
MonotonicityNot monotonic
2025-03-23T12:51:12.338799image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2023
 
2.9%
218 694
 
1.0%
222 693
 
1.0%
224 674
 
1.0%
226 673
 
1.0%
227 665
 
0.9%
225 659
 
0.9%
223 657
 
0.9%
255 650
 
0.9%
219 649
 
0.9%
Other values (246) 61963
88.5%
ValueCountFrequency (%)
0 2023
2.9%
1 110
 
0.2%
2 97
 
0.1%
3 46
 
0.1%
4 44
 
0.1%
ValueCountFrequency (%)
255 650
0.9%
254 143
 
0.2%
253 111
 
0.2%
252 110
 
0.2%
251 100
 
0.1%

493
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean159.1408429
Minimum0
Maximum255
Zeros1940
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:12.495005image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile23
Q1115
median178
Q3213
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)98

Descriptive statistics

Standard deviation67.02564827
Coefficient of variation (CV)0.4211718819
Kurtosis-0.3958600362
Mean159.1408429
Median Absolute Deviation (MAD)42
Skewness-0.7827222831
Sum11139859
Variance4492.437527
MonotonicityNot monotonic
2025-03-23T12:51:12.651238image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1940
 
2.8%
221 678
 
1.0%
226 660
 
0.9%
216 650
 
0.9%
217 645
 
0.9%
220 645
 
0.9%
218 643
 
0.9%
228 640
 
0.9%
210 638
 
0.9%
207 628
 
0.9%
Other values (246) 62233
88.9%
ValueCountFrequency (%)
0 1940
2.8%
1 103
 
0.1%
2 76
 
0.1%
3 85
 
0.1%
4 51
 
0.1%
ValueCountFrequency (%)
255 582
0.8%
254 116
 
0.2%
253 91
 
0.1%
252 83
 
0.1%
251 102
 
0.1%

494
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153.9545714
Minimum0
Maximum255
Zeros3467
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:12.791816image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q1104
median174
Q3213
95-th percentile242
Maximum255
Range255
Interquartile range (IQR)109

Descriptive statistics

Standard deviation72.12517052
Coefficient of variation (CV)0.4684834614
Kurtosis-0.6315516131
Mean153.9545714
Median Absolute Deviation (MAD)47
Skewness-0.6825165113
Sum10776820
Variance5202.040223
MonotonicityNot monotonic
2025-03-23T12:51:12.932406image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3467
 
5.0%
255 1260
 
1.8%
219 616
 
0.9%
213 599
 
0.9%
214 592
 
0.8%
211 589
 
0.8%
215 584
 
0.8%
224 583
 
0.8%
223 578
 
0.8%
217 574
 
0.8%
Other values (246) 60558
86.5%
ValueCountFrequency (%)
0 3467
5.0%
1 126
 
0.2%
2 100
 
0.1%
3 80
 
0.1%
4 75
 
0.1%
ValueCountFrequency (%)
255 1260
1.8%
254 261
 
0.4%
253 175
 
0.2%
252 160
 
0.2%
251 153
 
0.2%

495
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean134.5533143
Minimum0
Maximum255
Zeros8776
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:13.088621image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q162
median154
Q3206
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)144

Descriptive statistics

Standard deviation82.26068718
Coefficient of variation (CV)0.6113612854
Kurtosis-1.219621284
Mean134.5533143
Median Absolute Deviation (MAD)63
Skewness-0.3895105464
Sum9418732
Variance6766.820655
MonotonicityNot monotonic
2025-03-23T12:51:13.229208image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8776
 
12.5%
255 1154
 
1.6%
217 512
 
0.7%
215 500
 
0.7%
219 500
 
0.7%
218 495
 
0.7%
214 488
 
0.7%
213 483
 
0.7%
206 478
 
0.7%
221 473
 
0.7%
Other values (246) 56141
80.2%
ValueCountFrequency (%)
0 8776
12.5%
1 232
 
0.3%
2 164
 
0.2%
3 151
 
0.2%
4 122
 
0.2%
ValueCountFrequency (%)
255 1154
1.6%
254 219
 
0.3%
253 144
 
0.2%
252 133
 
0.2%
251 132
 
0.2%

496
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.6695429
Minimum0
Maximum255
Zeros15741
Zeros (%)22.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:13.369802image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median129
Q3200.25
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)190.25

Descriptive statistics

Standard deviation88.99423158
Coefficient of variation (CV)0.7627888942
Kurtosis-1.522547358
Mean116.6695429
Median Absolute Deviation (MAD)84
Skewness-0.09646319894
Sum8166868
Variance7919.973255
MonotonicityNot monotonic
2025-03-23T12:51:13.525977image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15741
 
22.5%
255 846
 
1.2%
225 429
 
0.6%
216 423
 
0.6%
222 423
 
0.6%
209 417
 
0.6%
213 415
 
0.6%
215 413
 
0.6%
218 407
 
0.6%
217 406
 
0.6%
Other values (246) 50080
71.5%
ValueCountFrequency (%)
0 15741
22.5%
1 327
 
0.5%
2 278
 
0.4%
3 212
 
0.3%
4 186
 
0.3%
ValueCountFrequency (%)
255 846
1.2%
254 188
 
0.3%
253 123
 
0.2%
252 118
 
0.2%
251 95
 
0.1%

497
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.9582571
Minimum0
Maximum255
Zeros20604
Zeros (%)29.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:13.682235image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median126
Q3204
95-th percentile244
Maximum255
Range255
Interquartile range (IQR)204

Descriptive statistics

Standard deviation94.78441796
Coefficient of variation (CV)0.8391101311
Kurtosis-1.635373629
Mean112.9582571
Median Absolute Deviation (MAD)96
Skewness-0.0251073523
Sum7907078
Variance8984.085887
MonotonicityNot monotonic
2025-03-23T12:51:13.838445image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20604
29.4%
255 1584
 
2.3%
1 490
 
0.7%
2 450
 
0.6%
219 434
 
0.6%
216 422
 
0.6%
213 416
 
0.6%
227 412
 
0.6%
212 411
 
0.6%
209 406
 
0.6%
Other values (246) 44371
63.4%
ValueCountFrequency (%)
0 20604
29.4%
1 490
 
0.7%
2 450
 
0.6%
3 350
 
0.5%
4 214
 
0.3%
ValueCountFrequency (%)
255 1584
2.3%
254 270
 
0.4%
253 192
 
0.3%
252 149
 
0.2%
251 133
 
0.2%

498
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.0858143
Minimum0
Maximum255
Zeros21902
Zeros (%)31.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:13.979034image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median110
Q3200
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)200

Descriptive statistics

Standard deviation94.84267414
Coefficient of variation (CV)0.8940184395
Kurtosis-1.649555341
Mean106.0858143
Median Absolute Deviation (MAD)107
Skewness0.07913030798
Sum7426007
Variance8995.132838
MonotonicityNot monotonic
2025-03-23T12:51:14.135247image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21902
31.3%
255 1204
 
1.7%
1 1058
 
1.5%
2 839
 
1.2%
3 664
 
0.9%
4 402
 
0.6%
225 400
 
0.6%
219 400
 
0.6%
222 400
 
0.6%
214 399
 
0.6%
Other values (246) 42332
60.5%
ValueCountFrequency (%)
0 21902
31.3%
1 1058
 
1.5%
2 839
 
1.2%
3 664
 
0.9%
4 402
 
0.6%
ValueCountFrequency (%)
255 1204
1.7%
254 222
 
0.3%
253 164
 
0.2%
252 137
 
0.2%
251 128
 
0.2%

499
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.66937143
Minimum0
Maximum255
Zeros25131
Zeros (%)35.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:14.291461image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median77
Q3187
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)187

Descriptive statistics

Standard deviation92.10014552
Coefficient of variation (CV)0.9832471823
Kurtosis-1.543056567
Mean93.66937143
Median Absolute Deviation (MAD)77
Skewness0.2935221791
Sum6556856
Variance8482.436805
MonotonicityNot monotonic
2025-03-23T12:51:14.432058image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25131
35.9%
1 1019
 
1.5%
255 832
 
1.2%
2 679
 
1.0%
3 476
 
0.7%
219 339
 
0.5%
224 329
 
0.5%
209 327
 
0.5%
204 324
 
0.5%
222 320
 
0.5%
Other values (246) 40224
57.5%
ValueCountFrequency (%)
0 25131
35.9%
1 1019
 
1.5%
2 679
 
1.0%
3 476
 
0.7%
4 296
 
0.4%
ValueCountFrequency (%)
255 832
1.2%
254 158
 
0.2%
253 123
 
0.2%
252 107
 
0.2%
251 92
 
0.1%

500
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.8184
Minimum0
Maximum255
Zeros33790
Zeros (%)48.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:14.588269image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q3159
95-th percentile227
Maximum255
Range255
Interquartile range (IQR)159

Descriptive statistics

Standard deviation87.51306629
Coefficient of variation (CV)1.201798808
Kurtosis-1.172580443
Mean72.8184
Median Absolute Deviation (MAD)7
Skewness0.6825960277
Sum5097288
Variance7658.536772
MonotonicityNot monotonic
2025-03-23T12:51:14.728861image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33790
48.3%
1 449
 
0.6%
255 334
 
0.5%
202 269
 
0.4%
204 267
 
0.4%
211 266
 
0.4%
213 264
 
0.4%
196 262
 
0.4%
210 258
 
0.4%
205 257
 
0.4%
Other values (246) 33584
48.0%
ValueCountFrequency (%)
0 33790
48.3%
1 449
 
0.6%
2 234
 
0.3%
3 166
 
0.2%
4 139
 
0.2%
ValueCountFrequency (%)
255 334
0.5%
254 86
 
0.1%
253 52
 
0.1%
252 51
 
0.1%
251 38
 
0.1%

501
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.53071429
Minimum0
Maximum255
Zeros42121
Zeros (%)60.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:14.885070image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3133
95-th percentile221
Maximum255
Range255
Interquartile range (IQR)133

Descriptive statistics

Standard deviation84.6771354
Coefficient of variation (CV)1.446712832
Kurtosis-0.6928947427
Mean58.53071429
Median Absolute Deviation (MAD)0
Skewness0.9995221784
Sum4097150
Variance7170.21726
MonotonicityNot monotonic
2025-03-23T12:51:15.025670image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42121
60.2%
206 272
 
0.4%
255 272
 
0.4%
209 259
 
0.4%
208 254
 
0.4%
1 252
 
0.4%
201 250
 
0.4%
200 247
 
0.4%
204 240
 
0.3%
203 238
 
0.3%
Other values (246) 25595
36.6%
ValueCountFrequency (%)
0 42121
60.2%
1 252
 
0.4%
2 155
 
0.2%
3 118
 
0.2%
4 79
 
0.1%
ValueCountFrequency (%)
255 272
0.4%
254 58
 
0.1%
253 41
 
0.1%
252 39
 
0.1%
251 41
 
0.1%

502
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.91335714
Minimum0
Maximum255
Zeros45779
Zeros (%)65.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:15.166216image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q389
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)89

Descriptive statistics

Standard deviation83.66197846
Coefficient of variation (CV)1.643222588
Kurtosis0.1096741366
Mean50.91335714
Median Absolute Deviation (MAD)0
Skewness1.318017195
Sum3563935
Variance6999.326641
MonotonicityNot monotonic
2025-03-23T12:51:15.322467image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45779
65.4%
255 1325
 
1.9%
1 216
 
0.3%
222 175
 
0.2%
217 167
 
0.2%
218 164
 
0.2%
2 158
 
0.2%
208 156
 
0.2%
209 154
 
0.2%
219 153
 
0.2%
Other values (246) 21553
30.8%
ValueCountFrequency (%)
0 45779
65.4%
1 216
 
0.3%
2 158
 
0.2%
3 117
 
0.2%
4 95
 
0.1%
ValueCountFrequency (%)
255 1325
1.9%
254 128
 
0.2%
253 104
 
0.1%
252 84
 
0.1%
251 78
 
0.1%

503
Real number (ℝ)

Zeros 

Distinct240
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.3917
Minimum0
Maximum255
Zeros53953
Zeros (%)77.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:15.463063image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile100
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation35.32281996
Coefficient of variation (CV)2.45438829
Kurtosis8.423935248
Mean14.3917
Median Absolute Deviation (MAD)0
Skewness2.891097324
Sum1007419
Variance1247.70161
MonotonicityNot monotonic
2025-03-23T12:51:15.619272image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53953
77.1%
1 402
 
0.6%
2 282
 
0.4%
3 198
 
0.3%
7 180
 
0.3%
23 179
 
0.3%
5 176
 
0.3%
6 172
 
0.2%
4 171
 
0.2%
31 168
 
0.2%
Other values (230) 14119
 
20.2%
ValueCountFrequency (%)
0 53953
77.1%
1 402
 
0.6%
2 282
 
0.4%
3 198
 
0.3%
4 171
 
0.2%
ValueCountFrequency (%)
255 3
< 0.1%
254 1
 
< 0.1%
252 1
 
< 0.1%
251 1
 
< 0.1%
246 1
 
< 0.1%

504
Real number (ℝ)

Zeros 

Distinct234
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.677085714
Minimum0
Maximum255
Zeros58770
Zeros (%)84.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:15.759906image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile61
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation26.09304716
Coefficient of variation (CV)3.398821913
Kurtosis20.53616224
Mean7.677085714
Median Absolute Deviation (MAD)0
Skewness4.31935274
Sum537396
Variance680.8471099
MonotonicityNot monotonic
2025-03-23T12:51:15.916040image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 58770
84.0%
1 1015
 
1.5%
2 587
 
0.8%
3 305
 
0.4%
4 214
 
0.3%
5 208
 
0.3%
7 178
 
0.3%
6 161
 
0.2%
10 151
 
0.2%
9 143
 
0.2%
Other values (224) 8268
 
11.8%
ValueCountFrequency (%)
0 58770
84.0%
1 1015
 
1.5%
2 587
 
0.8%
3 305
 
0.4%
4 214
 
0.3%
ValueCountFrequency (%)
255 2
< 0.1%
254 2
< 0.1%
242 1
< 0.1%
237 1
< 0.1%
235 2
< 0.1%

505
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.92354286
Minimum0
Maximum255
Zeros52687
Zeros (%)75.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:16.072290image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile180
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation57.73943177
Coefficient of variation (CV)2.316662286
Kurtosis4.639475775
Mean24.92354286
Median Absolute Deviation (MAD)0
Skewness2.39577964
Sum1744648
Variance3333.841981
MonotonicityNot monotonic
2025-03-23T12:51:16.212883image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 52687
75.3%
1 679
 
1.0%
2 444
 
0.6%
3 311
 
0.4%
255 259
 
0.4%
4 233
 
0.3%
5 160
 
0.2%
6 156
 
0.2%
7 125
 
0.2%
13 112
 
0.2%
Other values (246) 14834
 
21.2%
ValueCountFrequency (%)
0 52687
75.3%
1 679
 
1.0%
2 444
 
0.6%
3 311
 
0.4%
4 233
 
0.3%
ValueCountFrequency (%)
255 259
0.4%
254 28
 
< 0.1%
253 16
 
< 0.1%
252 26
 
< 0.1%
251 16
 
< 0.1%

506
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.2529
Minimum0
Maximum255
Zeros49244
Zeros (%)70.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:16.369094image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q320
95-th percentile193
Maximum255
Range255
Interquartile range (IQR)20

Descriptive statistics

Standard deviation64.13076448
Coefficient of variation (CV)1.988372037
Kurtosis2.304414554
Mean32.2529
Median Absolute Deviation (MAD)0
Skewness1.907739691
Sum2257703
Variance4112.754952
MonotonicityNot monotonic
2025-03-23T12:51:16.509692image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 49244
70.3%
1 627
 
0.9%
2 386
 
0.6%
3 339
 
0.5%
4 234
 
0.3%
5 180
 
0.3%
255 170
 
0.2%
6 140
 
0.2%
9 121
 
0.2%
24 117
 
0.2%
Other values (246) 18442
 
26.3%
ValueCountFrequency (%)
0 49244
70.3%
1 627
 
0.9%
2 386
 
0.6%
3 339
 
0.5%
4 234
 
0.3%
ValueCountFrequency (%)
255 170
0.2%
254 25
 
< 0.1%
253 21
 
< 0.1%
252 19
 
< 0.1%
251 14
 
< 0.1%

507
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.33931429
Minimum0
Maximum255
Zeros42937
Zeros (%)61.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:16.665938image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q375
95-th percentile208
Maximum255
Range255
Interquartile range (IQR)75

Descriptive statistics

Standard deviation72.0688245
Coefficient of variation (CV)1.625393303
Kurtosis0.6385556766
Mean44.33931429
Median Absolute Deviation (MAD)0
Skewness1.428229636
Sum3103752
Variance5193.915465
MonotonicityNot monotonic
2025-03-23T12:51:16.806493image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42937
61.3%
1 673
 
1.0%
2 361
 
0.5%
255 300
 
0.4%
3 280
 
0.4%
4 226
 
0.3%
5 176
 
0.3%
6 146
 
0.2%
206 138
 
0.2%
35 134
 
0.2%
Other values (246) 24629
35.2%
ValueCountFrequency (%)
0 42937
61.3%
1 673
 
1.0%
2 361
 
0.5%
3 280
 
0.4%
4 226
 
0.3%
ValueCountFrequency (%)
255 300
0.4%
254 29
 
< 0.1%
253 37
 
0.1%
252 26
 
< 0.1%
251 32
 
< 0.1%

508
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.68948571
Minimum0
Maximum255
Zeros32046
Zeros (%)45.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:16.948554image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10
Q3137
95-th percentile226
Maximum255
Range255
Interquartile range (IQR)137

Descriptive statistics

Standard deviation82.86395659
Coefficient of variation (CV)1.224177665
Kurtosis-0.8421815746
Mean67.68948571
Median Absolute Deviation (MAD)10
Skewness0.809999955
Sum4738264
Variance6866.435301
MonotonicityNot monotonic
2025-03-23T12:51:17.105001image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32046
45.8%
1 931
 
1.3%
255 624
 
0.9%
2 550
 
0.8%
3 378
 
0.5%
4 291
 
0.4%
209 198
 
0.3%
5 198
 
0.3%
190 192
 
0.3%
163 189
 
0.3%
Other values (246) 34403
49.1%
ValueCountFrequency (%)
0 32046
45.8%
1 931
 
1.3%
2 550
 
0.8%
3 378
 
0.5%
4 291
 
0.4%
ValueCountFrequency (%)
255 624
0.9%
254 101
 
0.1%
253 86
 
0.1%
252 53
 
0.1%
251 69
 
0.1%

509
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.08984286
Minimum0
Maximum255
Zeros25410
Zeros (%)36.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:17.261222image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median56
Q3176
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)176

Descriptive statistics

Standard deviation90.56351392
Coefficient of variation (CV)1.051965144
Kurtosis-1.39449475
Mean86.08984286
Median Absolute Deviation (MAD)56
Skewness0.4540894886
Sum6026289
Variance8201.750053
MonotonicityNot monotonic
2025-03-23T12:51:17.792304image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25410
36.3%
1 1447
 
2.1%
2 1080
 
1.5%
255 948
 
1.4%
3 736
 
1.1%
4 528
 
0.8%
213 294
 
0.4%
5 290
 
0.4%
218 278
 
0.4%
216 278
 
0.4%
Other values (246) 38711
55.3%
ValueCountFrequency (%)
0 25410
36.3%
1 1447
 
2.1%
2 1080
 
1.5%
3 736
 
1.1%
4 528
 
0.8%
ValueCountFrequency (%)
255 948
1.4%
254 185
 
0.3%
253 125
 
0.2%
252 115
 
0.2%
251 120
 
0.2%

510
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.50022857
Minimum0
Maximum255
Zeros23973
Zeros (%)34.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:17.948569image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median82
Q3189
95-th percentile242
Maximum255
Range255
Interquartile range (IQR)189

Descriptive statistics

Standard deviation93.2727187
Coefficient of variation (CV)0.9665543811
Kurtosis-1.539864144
Mean96.50022857
Median Absolute Deviation (MAD)82
Skewness0.2753209744
Sum6755016
Variance8699.800054
MonotonicityNot monotonic
2025-03-23T12:51:18.104766image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23973
34.2%
255 1527
 
2.2%
1 805
 
1.1%
2 720
 
1.0%
3 477
 
0.7%
4 333
 
0.5%
220 320
 
0.5%
216 319
 
0.5%
221 314
 
0.4%
206 307
 
0.4%
Other values (246) 40905
58.4%
ValueCountFrequency (%)
0 23973
34.2%
1 805
 
1.1%
2 720
 
1.0%
3 477
 
0.7%
4 333
 
0.5%
ValueCountFrequency (%)
255 1527
2.2%
254 233
 
0.3%
253 155
 
0.2%
252 123
 
0.2%
251 142
 
0.2%

511
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.5938429
Minimum0
Maximum255
Zeros19916
Zeros (%)28.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:18.245363image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median97
Q3188
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)188

Descriptive statistics

Standard deviation89.72474974
Coefficient of variation (CV)0.8831711373
Kurtosis-1.508792009
Mean101.5938429
Median Absolute Deviation (MAD)97
Skewness0.1807486242
Sum7111569
Variance8050.530715
MonotonicityNot monotonic
2025-03-23T12:51:18.401578image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19916
28.5%
255 1037
 
1.5%
1 471
 
0.7%
2 417
 
0.6%
218 344
 
0.5%
3 324
 
0.5%
225 320
 
0.5%
219 316
 
0.5%
217 316
 
0.5%
197 313
 
0.4%
Other values (246) 46226
66.0%
ValueCountFrequency (%)
0 19916
28.5%
1 471
 
0.7%
2 417
 
0.6%
3 324
 
0.5%
4 236
 
0.3%
ValueCountFrequency (%)
255 1037
1.5%
254 166
 
0.2%
253 143
 
0.2%
252 125
 
0.2%
251 145
 
0.2%

512
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.1323
Minimum0
Maximum255
Zeros13395
Zeros (%)19.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:18.542166image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q127
median126
Q3196
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)169

Descriptive statistics

Standard deviation85.7266847
Coefficient of variation (CV)0.7318791204
Kurtosis-1.428751819
Mean117.1323
Median Absolute Deviation (MAD)79
Skewness-0.08639785186
Sum8199261
Variance7349.064469
MonotonicityNot monotonic
2025-03-23T12:51:18.682754image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13395
 
19.1%
255 1078
 
1.5%
210 397
 
0.6%
219 382
 
0.5%
223 365
 
0.5%
221 362
 
0.5%
224 362
 
0.5%
207 359
 
0.5%
226 358
 
0.5%
1 357
 
0.5%
Other values (246) 52585
75.1%
ValueCountFrequency (%)
0 13395
19.1%
1 357
 
0.5%
2 250
 
0.4%
3 197
 
0.3%
4 167
 
0.2%
ValueCountFrequency (%)
255 1078
1.5%
254 199
 
0.3%
253 124
 
0.2%
252 112
 
0.2%
251 112
 
0.2%

513
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean140.0894143
Minimum0
Maximum255
Zeros7238
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:18.838967image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q177
median159
Q3208
95-th percentile244
Maximum255
Range255
Interquartile range (IQR)131

Descriptive statistics

Standard deviation79.87291934
Coefficient of variation (CV)0.5701567084
Kurtosis-1.06084424
Mean140.0894143
Median Absolute Deviation (MAD)59
Skewness-0.4568081497
Sum9806259
Variance6379.683243
MonotonicityNot monotonic
2025-03-23T12:51:18.979523image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7238
 
10.3%
255 1643
 
2.3%
218 510
 
0.7%
221 505
 
0.7%
217 498
 
0.7%
219 495
 
0.7%
207 481
 
0.7%
215 481
 
0.7%
220 478
 
0.7%
223 475
 
0.7%
Other values (246) 57196
81.7%
ValueCountFrequency (%)
0 7238
10.3%
1 234
 
0.3%
2 149
 
0.2%
3 147
 
0.2%
4 116
 
0.2%
ValueCountFrequency (%)
255 1643
2.3%
254 231
 
0.3%
253 208
 
0.3%
252 140
 
0.2%
251 157
 
0.2%

514
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152.0479
Minimum0
Maximum255
Zeros3653
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:19.120151image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1103
median171
Q3211
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)108

Descriptive statistics

Standard deviation71.78907777
Coefficient of variation (CV)0.4721477756
Kurtosis-0.6258448576
Mean152.0479
Median Absolute Deviation (MAD)48
Skewness-0.6808494968
Sum10643353
Variance5153.671687
MonotonicityNot monotonic
2025-03-23T12:51:19.260754image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3653
 
5.2%
255 885
 
1.3%
222 618
 
0.9%
219 613
 
0.9%
225 600
 
0.9%
220 590
 
0.8%
221 568
 
0.8%
217 567
 
0.8%
228 562
 
0.8%
215 561
 
0.8%
Other values (246) 60783
86.8%
ValueCountFrequency (%)
0 3653
5.2%
1 223
 
0.3%
2 136
 
0.2%
3 94
 
0.1%
4 82
 
0.1%
ValueCountFrequency (%)
255 885
1.3%
254 161
 
0.2%
253 123
 
0.2%
252 116
 
0.2%
251 97
 
0.1%

515
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean155.4860571
Minimum0
Maximum255
Zeros3145
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:19.401341image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q1110
median176
Q3213
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)103

Descriptive statistics

Standard deviation69.98674737
Coefficient of variation (CV)0.4501159053
Kurtosis-0.480023363
Mean155.4860571
Median Absolute Deviation (MAD)45
Skewness-0.7647307928
Sum10884024
Variance4898.144808
MonotonicityNot monotonic
2025-03-23T12:51:19.557556image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3145
 
4.5%
227 668
 
1.0%
223 661
 
0.9%
218 660
 
0.9%
229 646
 
0.9%
222 644
 
0.9%
219 643
 
0.9%
221 635
 
0.9%
224 634
 
0.9%
225 619
 
0.9%
Other values (246) 61045
87.2%
ValueCountFrequency (%)
0 3145
4.5%
1 197
 
0.3%
2 132
 
0.2%
3 92
 
0.1%
4 73
 
0.1%
ValueCountFrequency (%)
255 527
0.8%
254 100
 
0.1%
253 85
 
0.1%
252 75
 
0.1%
251 75
 
0.1%

516
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.4409714
Minimum0
Maximum255
Zeros3505
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:19.698143image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1105
median175
Q3213
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)108

Descriptive statistics

Standard deviation71.68028601
Coefficient of variation (CV)0.4641273967
Kurtosis-0.579761551
Mean154.4409714
Median Absolute Deviation (MAD)46
Skewness-0.7294847966
Sum10810868
Variance5138.063402
MonotonicityNot monotonic
2025-03-23T12:51:19.854352image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3505
 
5.0%
255 673
 
1.0%
221 639
 
0.9%
223 635
 
0.9%
229 629
 
0.9%
217 626
 
0.9%
228 623
 
0.9%
222 618
 
0.9%
224 618
 
0.9%
227 608
 
0.9%
Other values (246) 60826
86.9%
ValueCountFrequency (%)
0 3505
5.0%
1 200
 
0.3%
2 128
 
0.2%
3 79
 
0.1%
4 72
 
0.1%
ValueCountFrequency (%)
255 673
1.0%
254 122
 
0.2%
253 127
 
0.2%
252 102
 
0.1%
251 81
 
0.1%

517
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean144.0003286
Minimum0
Maximum255
Zeros6195
Zeros (%)8.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:19.994908image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q185
median166
Q3210
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)125

Descriptive statistics

Standard deviation77.31695757
Coefficient of variation (CV)0.5369220913
Kurtosis-0.9373648588
Mean144.0003286
Median Absolute Deviation (MAD)53
Skewness-0.588358185
Sum10080023
Variance5977.911927
MonotonicityNot monotonic
2025-03-23T12:51:20.135538image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6195
 
8.8%
229 600
 
0.9%
222 593
 
0.8%
227 589
 
0.8%
223 588
 
0.8%
216 583
 
0.8%
218 576
 
0.8%
226 573
 
0.8%
217 571
 
0.8%
220 570
 
0.8%
Other values (246) 58562
83.7%
ValueCountFrequency (%)
0 6195
8.8%
1 254
 
0.4%
2 199
 
0.3%
3 140
 
0.2%
4 111
 
0.2%
ValueCountFrequency (%)
255 470
0.7%
254 89
 
0.1%
253 83
 
0.1%
252 73
 
0.1%
251 79
 
0.1%

518
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.5215429
Minimum0
Maximum255
Zeros8551
Zeros (%)12.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:20.293560image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q175
median163
Q3209
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)134

Descriptive statistics

Standard deviation80.44172766
Coefficient of variation (CV)0.5765541723
Kurtosis-1.076479627
Mean139.5215429
Median Absolute Deviation (MAD)56
Skewness-0.5387283521
Sum9766508
Variance6470.871548
MonotonicityNot monotonic
2025-03-23T12:51:20.426590image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8551
 
12.2%
224 595
 
0.9%
223 591
 
0.8%
217 587
 
0.8%
228 579
 
0.8%
219 570
 
0.8%
216 562
 
0.8%
226 559
 
0.8%
227 555
 
0.8%
221 555
 
0.8%
Other values (246) 56296
80.4%
ValueCountFrequency (%)
0 8551
12.2%
1 233
 
0.3%
2 172
 
0.2%
3 155
 
0.2%
4 131
 
0.2%
ValueCountFrequency (%)
255 366
0.5%
254 76
 
0.1%
253 65
 
0.1%
252 52
 
0.1%
251 60
 
0.1%

519
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean150.3805571
Minimum0
Maximum255
Zeros4270
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:20.567178image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q196
median172
Q3213
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)117

Descriptive statistics

Standard deviation74.49475579
Coefficient of variation (CV)0.4953749155
Kurtosis-0.7757591623
Mean150.3805571
Median Absolute Deviation (MAD)50
Skewness-0.65542996
Sum10526639
Variance5549.46864
MonotonicityNot monotonic
2025-03-23T12:51:20.723395image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4270
 
6.1%
255 732
 
1.0%
228 649
 
0.9%
222 642
 
0.9%
227 621
 
0.9%
223 615
 
0.9%
224 610
 
0.9%
225 608
 
0.9%
219 608
 
0.9%
218 603
 
0.9%
Other values (246) 60042
85.8%
ValueCountFrequency (%)
0 4270
6.1%
1 175
 
0.2%
2 128
 
0.2%
3 98
 
0.1%
4 91
 
0.1%
ValueCountFrequency (%)
255 732
1.0%
254 124
 
0.2%
253 89
 
0.1%
252 86
 
0.1%
251 91
 
0.1%

520
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean157.2268857
Minimum0
Maximum255
Zeros2721
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:20.863947image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q1109
median179
Q3215
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)106

Descriptive statistics

Standard deviation70.47043723
Coefficient of variation (CV)0.4482085676
Kurtosis-0.5198881399
Mean157.2268857
Median Absolute Deviation (MAD)44
Skewness-0.7675421619
Sum11005882
Variance4966.082524
MonotonicityNot monotonic
2025-03-23T12:51:21.020200image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2721
 
3.9%
225 666
 
1.0%
228 654
 
0.9%
226 653
 
0.9%
229 651
 
0.9%
216 650
 
0.9%
224 647
 
0.9%
217 644
 
0.9%
222 640
 
0.9%
230 640
 
0.9%
Other values (246) 61434
87.8%
ValueCountFrequency (%)
0 2721
3.9%
1 118
 
0.2%
2 120
 
0.2%
3 69
 
0.1%
4 74
 
0.1%
ValueCountFrequency (%)
255 539
0.8%
254 124
 
0.2%
253 118
 
0.2%
252 99
 
0.1%
251 122
 
0.2%

521
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.6037857
Minimum0
Maximum255
Zeros2911
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:21.207651image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q1106
median176
Q3213
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)107

Descriptive statistics

Standard deviation70.8316242
Coefficient of variation (CV)0.4581493518
Kurtosis-0.5837340271
Mean154.6037857
Median Absolute Deviation (MAD)45
Skewness-0.7325589277
Sum10822265
Variance5017.118987
MonotonicityNot monotonic
2025-03-23T12:51:21.363864image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2911
 
4.2%
218 666
 
1.0%
223 649
 
0.9%
220 646
 
0.9%
214 638
 
0.9%
225 636
 
0.9%
217 627
 
0.9%
221 621
 
0.9%
216 621
 
0.9%
222 621
 
0.9%
Other values (246) 61364
87.7%
ValueCountFrequency (%)
0 2911
4.2%
1 139
 
0.2%
2 106
 
0.2%
3 96
 
0.1%
4 90
 
0.1%
ValueCountFrequency (%)
255 543
0.8%
254 97
 
0.1%
253 104
 
0.1%
252 96
 
0.1%
251 71
 
0.1%

522
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148.0363143
Minimum0
Maximum255
Zeros4816
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:21.520080image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q190
median170
Q3212
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)122

Descriptive statistics

Standard deviation76.11147676
Coefficient of variation (CV)0.5141405819
Kurtosis-0.8669703682
Mean148.0363143
Median Absolute Deviation (MAD)51
Skewness-0.596578348
Sum10362542
Variance5792.956895
MonotonicityNot monotonic
2025-03-23T12:51:21.660632image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4816
 
6.9%
255 1207
 
1.7%
212 615
 
0.9%
221 598
 
0.9%
220 588
 
0.8%
216 569
 
0.8%
217 567
 
0.8%
218 563
 
0.8%
219 560
 
0.8%
213 553
 
0.8%
Other values (246) 59364
84.8%
ValueCountFrequency (%)
0 4816
6.9%
1 184
 
0.3%
2 125
 
0.2%
3 115
 
0.2%
4 104
 
0.1%
ValueCountFrequency (%)
255 1207
1.7%
254 226
 
0.3%
253 172
 
0.2%
252 121
 
0.2%
251 121
 
0.2%

523
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.1087429
Minimum0
Maximum255
Zeros10014
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:21.801264image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q149
median147
Q3205
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)156

Descriptive statistics

Standard deviation84.63219388
Coefficient of variation (CV)0.6555109438
Kurtosis-1.349467655
Mean129.1087429
Median Absolute Deviation (MAD)69
Skewness-0.2822431664
Sum9037612
Variance7162.608241
MonotonicityNot monotonic
2025-03-23T12:51:21.957437image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10014
 
14.3%
255 1265
 
1.8%
216 500
 
0.7%
215 488
 
0.7%
222 477
 
0.7%
217 470
 
0.7%
214 461
 
0.7%
218 460
 
0.7%
204 460
 
0.7%
209 460
 
0.7%
Other values (246) 54945
78.5%
ValueCountFrequency (%)
0 10014
14.3%
1 317
 
0.5%
2 246
 
0.4%
3 182
 
0.3%
4 177
 
0.3%
ValueCountFrequency (%)
255 1265
1.8%
254 183
 
0.3%
253 161
 
0.2%
252 120
 
0.2%
251 96
 
0.1%

524
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.2273
Minimum0
Maximum255
Zeros16575
Zeros (%)23.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:22.113650image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median114
Q3196
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)193

Descriptive statistics

Standard deviation89.13842767
Coefficient of variation (CV)0.808678319
Kurtosis-1.542484933
Mean110.2273
Median Absolute Deviation (MAD)92
Skewness0.02743633769
Sum7715911
Variance7945.659287
MonotonicityNot monotonic
2025-03-23T12:51:22.269904image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16575
 
23.7%
255 818
 
1.2%
1 429
 
0.6%
221 398
 
0.6%
215 393
 
0.6%
226 387
 
0.6%
217 383
 
0.5%
218 381
 
0.5%
214 373
 
0.5%
222 371
 
0.5%
Other values (246) 49492
70.7%
ValueCountFrequency (%)
0 16575
23.7%
1 429
 
0.6%
2 365
 
0.5%
3 278
 
0.4%
4 215
 
0.3%
ValueCountFrequency (%)
255 818
1.2%
254 150
 
0.2%
253 108
 
0.2%
252 86
 
0.1%
251 111
 
0.2%

525
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.3834714
Minimum0
Maximum255
Zeros21284
Zeros (%)30.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:22.410494image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median110
Q3201
95-th percentile243
Maximum255
Range255
Interquartile range (IQR)201

Descriptive statistics

Standard deviation94.58650931
Coefficient of variation (CV)0.8808293125
Kurtosis-1.631928626
Mean107.3834714
Median Absolute Deviation (MAD)106
Skewness0.08259029097
Sum7516843
Variance8946.607744
MonotonicityNot monotonic
2025-03-23T12:51:22.566706image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21284
30.4%
255 1467
 
2.1%
1 530
 
0.8%
2 463
 
0.7%
227 390
 
0.6%
204 384
 
0.5%
3 382
 
0.5%
216 382
 
0.5%
209 382
 
0.5%
210 377
 
0.5%
Other values (246) 43959
62.8%
ValueCountFrequency (%)
0 21284
30.4%
1 530
 
0.8%
2 463
 
0.7%
3 382
 
0.5%
4 274
 
0.4%
ValueCountFrequency (%)
255 1467
2.1%
254 239
 
0.3%
253 167
 
0.2%
252 153
 
0.2%
251 142
 
0.2%

526
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.0218857
Minimum0
Maximum255
Zeros22717
Zeros (%)32.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:22.707302image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median96
Q3198
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)198

Descriptive statistics

Standard deviation94.95129264
Coefficient of variation (CV)0.9306953305
Kurtosis-1.635014005
Mean102.0218857
Median Absolute Deviation (MAD)96
Skewness0.1642094544
Sum7141532
Variance9015.747975
MonotonicityNot monotonic
2025-03-23T12:51:22.847890image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22717
32.5%
255 1230
 
1.8%
1 1022
 
1.5%
2 817
 
1.2%
3 673
 
1.0%
4 415
 
0.6%
216 413
 
0.6%
209 380
 
0.5%
222 379
 
0.5%
219 377
 
0.5%
Other values (246) 41577
59.4%
ValueCountFrequency (%)
0 22717
32.5%
1 1022
 
1.5%
2 817
 
1.2%
3 673
 
1.0%
4 415
 
0.6%
ValueCountFrequency (%)
255 1230
1.8%
254 229
 
0.3%
253 145
 
0.2%
252 156
 
0.2%
251 120
 
0.2%

527
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.42171429
Minimum0
Maximum255
Zeros25523
Zeros (%)36.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:22.988486image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median67
Q3183
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)183

Descriptive statistics

Standard deviation91.56072757
Coefficient of variation (CV)1.012596679
Kurtosis-1.496375562
Mean90.42171429
Median Absolute Deviation (MAD)67
Skewness0.3604627939
Sum6329520
Variance8383.366834
MonotonicityNot monotonic
2025-03-23T12:51:23.144697image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25523
36.5%
1 1105
 
1.6%
255 757
 
1.1%
2 712
 
1.0%
3 524
 
0.7%
4 342
 
0.5%
221 324
 
0.5%
211 321
 
0.5%
210 319
 
0.5%
212 319
 
0.5%
Other values (246) 39754
56.8%
ValueCountFrequency (%)
0 25523
36.5%
1 1105
 
1.6%
2 712
 
1.0%
3 524
 
0.7%
4 342
 
0.5%
ValueCountFrequency (%)
255 757
1.1%
254 169
 
0.2%
253 126
 
0.2%
252 106
 
0.2%
251 83
 
0.1%

528
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.09215714
Minimum0
Maximum255
Zeros34027
Zeros (%)48.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:23.285288image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q3151
95-th percentile226
Maximum255
Range255
Interquartile range (IQR)151

Descriptive statistics

Standard deviation86.16484939
Coefficient of variation (CV)1.229307998
Kurtosis-1.060799748
Mean70.09215714
Median Absolute Deviation (MAD)4
Skewness0.7475876989
Sum4906451
Variance7424.38127
MonotonicityNot monotonic
2025-03-23T12:51:23.832033image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34027
48.6%
1 520
 
0.7%
255 321
 
0.5%
211 280
 
0.4%
204 263
 
0.4%
205 262
 
0.4%
2 254
 
0.4%
194 249
 
0.4%
193 248
 
0.4%
218 248
 
0.4%
Other values (246) 33328
47.6%
ValueCountFrequency (%)
0 34027
48.6%
1 520
 
0.7%
2 254
 
0.4%
3 186
 
0.3%
4 142
 
0.2%
ValueCountFrequency (%)
255 321
0.5%
254 54
 
0.1%
253 55
 
0.1%
252 50
 
0.1%
251 38
 
0.1%

529
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.34744286
Minimum0
Maximum255
Zeros42676
Zeros (%)61.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:23.988245image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3117
95-th percentile220
Maximum255
Range255
Interquartile range (IQR)117

Descriptive statistics

Standard deviation82.73211584
Coefficient of variation (CV)1.494777565
Kurtosis-0.4683965023
Mean55.34744286
Median Absolute Deviation (MAD)0
Skewness1.094495643
Sum3874321
Variance6844.602992
MonotonicityNot monotonic
2025-03-23T12:51:24.128845image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42676
61.0%
1 278
 
0.4%
255 271
 
0.4%
205 249
 
0.4%
204 240
 
0.3%
201 237
 
0.3%
203 234
 
0.3%
200 229
 
0.3%
207 227
 
0.3%
198 226
 
0.3%
Other values (246) 25133
35.9%
ValueCountFrequency (%)
0 42676
61.0%
1 278
 
0.4%
2 144
 
0.2%
3 108
 
0.2%
4 97
 
0.1%
ValueCountFrequency (%)
255 271
0.4%
254 50
 
0.1%
253 33
 
< 0.1%
252 39
 
0.1%
251 35
 
0.1%

530
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.34205714
Minimum0
Maximum255
Zeros46384
Zeros (%)66.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:24.269435image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q370
95-th percentile231
Maximum255
Range255
Interquartile range (IQR)70

Descriptive statistics

Standard deviation80.90394368
Coefficient of variation (CV)1.708923282
Kurtosis0.4873240956
Mean47.34205714
Median Absolute Deviation (MAD)0
Skewness1.440050117
Sum3313944
Variance6545.448103
MonotonicityNot monotonic
2025-03-23T12:51:24.410021image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46384
66.3%
255 1214
 
1.7%
1 262
 
0.4%
221 159
 
0.2%
204 148
 
0.2%
217 147
 
0.2%
208 141
 
0.2%
213 137
 
0.2%
222 136
 
0.2%
211 135
 
0.2%
Other values (246) 21137
30.2%
ValueCountFrequency (%)
0 46384
66.3%
1 262
 
0.4%
2 135
 
0.2%
3 118
 
0.2%
4 94
 
0.1%
ValueCountFrequency (%)
255 1214
1.7%
254 99
 
0.1%
253 72
 
0.1%
252 83
 
0.1%
251 69
 
0.1%

531
Real number (ℝ)

Zeros 

Distinct235
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.32694286
Minimum0
Maximum255
Zeros54261
Zeros (%)77.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:24.566234image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile93
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation33.59450129
Coefficient of variation (CV)2.520795778
Kurtosis9.571426989
Mean13.32694286
Median Absolute Deviation (MAD)0
Skewness3.044651176
Sum932886
Variance1128.590517
MonotonicityNot monotonic
2025-03-23T12:51:24.706832image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54261
77.5%
1 433
 
0.6%
2 328
 
0.5%
3 212
 
0.3%
17 191
 
0.3%
4 190
 
0.3%
23 181
 
0.3%
34 179
 
0.3%
25 179
 
0.3%
15 178
 
0.3%
Other values (225) 13668
 
19.5%
ValueCountFrequency (%)
0 54261
77.5%
1 433
 
0.6%
2 328
 
0.5%
3 212
 
0.3%
4 190
 
0.3%
ValueCountFrequency (%)
255 1
< 0.1%
249 1
< 0.1%
246 2
< 0.1%
245 1
< 0.1%
240 2
< 0.1%

532
Real number (ℝ)

Zeros 

Distinct234
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.898585714
Minimum0
Maximum255
Zeros60523
Zeros (%)86.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:24.863039image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile56
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation25.19178485
Coefficient of variation (CV)3.651731804
Kurtosis22.893003
Mean6.898585714
Median Absolute Deviation (MAD)0
Skewness4.564739368
Sum482901
Variance634.6260241
MonotonicityNot monotonic
2025-03-23T12:51:25.003638image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60523
86.5%
1 882
 
1.3%
2 445
 
0.6%
3 283
 
0.4%
4 201
 
0.3%
5 138
 
0.2%
7 128
 
0.2%
6 119
 
0.2%
12 108
 
0.2%
9 104
 
0.1%
Other values (224) 7069
 
10.1%
ValueCountFrequency (%)
0 60523
86.5%
1 882
 
1.3%
2 445
 
0.6%
3 283
 
0.4%
4 201
 
0.3%
ValueCountFrequency (%)
255 1
< 0.1%
254 2
< 0.1%
247 1
< 0.1%
244 1
< 0.1%
242 1
< 0.1%

533
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.84591429
Minimum0
Maximum255
Zeros54935
Zeros (%)78.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:25.159853image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile180.05
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation56.8416692
Coefficient of variation (CV)2.48804528
Kurtosis5.308645291
Mean22.84591429
Median Absolute Deviation (MAD)0
Skewness2.544621324
Sum1599214
Variance3230.975357
MonotonicityNot monotonic
2025-03-23T12:51:25.300439image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54935
78.5%
1 634
 
0.9%
2 381
 
0.5%
3 301
 
0.4%
255 241
 
0.3%
4 200
 
0.3%
5 181
 
0.3%
6 130
 
0.2%
17 110
 
0.2%
10 102
 
0.1%
Other values (246) 12785
 
18.3%
ValueCountFrequency (%)
0 54935
78.5%
1 634
 
0.9%
2 381
 
0.5%
3 301
 
0.4%
4 200
 
0.3%
ValueCountFrequency (%)
255 241
0.3%
254 25
 
< 0.1%
253 19
 
< 0.1%
252 19
 
< 0.1%
251 14
 
< 0.1%

534
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.5449
Minimum0
Maximum255
Zeros51021
Zeros (%)72.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:25.456612image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile195
Maximum255
Range255
Interquartile range (IQR)5

Descriptive statistics

Standard deviation63.93143985
Coefficient of variation (CV)2.093031565
Kurtosis2.632920736
Mean30.5449
Median Absolute Deviation (MAD)0
Skewness2.004880796
Sum2138143
Variance4087.229002
MonotonicityNot monotonic
2025-03-23T12:51:25.597241image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 51021
72.9%
1 598
 
0.9%
2 338
 
0.5%
3 244
 
0.3%
4 212
 
0.3%
5 168
 
0.2%
255 156
 
0.2%
6 150
 
0.2%
8 128
 
0.2%
9 126
 
0.2%
Other values (246) 16859
 
24.1%
ValueCountFrequency (%)
0 51021
72.9%
1 598
 
0.9%
2 338
 
0.5%
3 244
 
0.3%
4 212
 
0.3%
ValueCountFrequency (%)
255 156
0.2%
254 19
 
< 0.1%
253 10
 
< 0.1%
252 16
 
< 0.1%
251 19
 
< 0.1%

535
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.3532
Minimum0
Maximum255
Zeros44042
Zeros (%)62.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:25.753462image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q370
95-th percentile209
Maximum255
Range255
Interquartile range (IQR)70

Descriptive statistics

Standard deviation72.36677892
Coefficient of variation (CV)1.669237309
Kurtosis0.7161981112
Mean43.3532
Median Absolute Deviation (MAD)0
Skewness1.466934441
Sum3034724
Variance5236.950692
MonotonicityNot monotonic
2025-03-23T12:51:25.894049image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 44042
62.9%
1 577
 
0.8%
2 314
 
0.4%
255 266
 
0.4%
3 252
 
0.4%
5 187
 
0.3%
4 177
 
0.3%
7 160
 
0.2%
6 149
 
0.2%
22 131
 
0.2%
Other values (246) 23745
33.9%
ValueCountFrequency (%)
0 44042
62.9%
1 577
 
0.8%
2 314
 
0.4%
3 252
 
0.4%
4 177
 
0.3%
ValueCountFrequency (%)
255 266
0.4%
254 36
 
0.1%
253 36
 
0.1%
252 26
 
< 0.1%
251 36
 
0.1%

536
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.75377143
Minimum0
Maximum255
Zeros32628
Zeros (%)46.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:26.050262image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q3136
95-th percentile226
Maximum255
Range255
Interquartile range (IQR)136

Descriptive statistics

Standard deviation83.16053319
Coefficient of variation (CV)1.245780297
Kurtosis-0.8241310064
Mean66.75377143
Median Absolute Deviation (MAD)6
Skewness0.8344122474
Sum4672764
Variance6915.674281
MonotonicityNot monotonic
2025-03-23T12:51:26.190866image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32628
46.6%
1 871
 
1.2%
255 565
 
0.8%
2 537
 
0.8%
3 364
 
0.5%
4 251
 
0.4%
5 217
 
0.3%
198 193
 
0.3%
193 190
 
0.3%
206 183
 
0.3%
Other values (246) 34001
48.6%
ValueCountFrequency (%)
0 32628
46.6%
1 871
 
1.2%
2 537
 
0.8%
3 364
 
0.5%
4 251
 
0.4%
ValueCountFrequency (%)
255 565
0.8%
254 101
 
0.1%
253 65
 
0.1%
252 78
 
0.1%
251 45
 
0.1%

537
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.22647143
Minimum0
Maximum255
Zeros26034
Zeros (%)37.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:26.347064image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median46
Q3175
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)175

Descriptive statistics

Standard deviation90.81528617
Coefficient of variation (CV)1.078227363
Kurtosis-1.363300296
Mean84.22647143
Median Absolute Deviation (MAD)46
Skewness0.5006064298
Sum5895853
Variance8247.416202
MonotonicityNot monotonic
2025-03-23T12:51:26.503285image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26034
37.2%
1 1334
 
1.9%
255 998
 
1.4%
2 975
 
1.4%
3 775
 
1.1%
4 480
 
0.7%
5 308
 
0.4%
217 282
 
0.4%
216 277
 
0.4%
215 270
 
0.4%
Other values (246) 38267
54.7%
ValueCountFrequency (%)
0 26034
37.2%
1 1334
 
1.9%
2 975
 
1.4%
3 775
 
1.1%
4 480
 
0.7%
ValueCountFrequency (%)
255 998
1.4%
254 190
 
0.3%
253 130
 
0.2%
252 103
 
0.1%
251 85
 
0.1%

538
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.38804286
Minimum0
Maximum255
Zeros24409
Zeros (%)34.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:26.643872image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median73
Q3188
95-th percentile243
Maximum255
Range255
Interquartile range (IQR)188

Descriptive statistics

Standard deviation93.37668597
Coefficient of variation (CV)0.9892851165
Kurtosis-1.512627393
Mean94.38804286
Median Absolute Deviation (MAD)73
Skewness0.3296239092
Sum6607163
Variance8719.205483
MonotonicityNot monotonic
2025-03-23T12:51:26.800086image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24409
34.9%
255 1520
 
2.2%
1 751
 
1.1%
2 583
 
0.8%
3 438
 
0.6%
222 322
 
0.5%
221 298
 
0.4%
220 296
 
0.4%
216 294
 
0.4%
227 292
 
0.4%
Other values (246) 40797
58.3%
ValueCountFrequency (%)
0 24409
34.9%
1 751
 
1.1%
2 583
 
0.8%
3 438
 
0.6%
4 288
 
0.4%
ValueCountFrequency (%)
255 1520
2.2%
254 232
 
0.3%
253 173
 
0.2%
252 149
 
0.2%
251 129
 
0.2%

539
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.67518571
Minimum0
Maximum255
Zeros19967
Zeros (%)28.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:26.940680image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median88
Q3185
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)185

Descriptive statistics

Standard deviation89.03110325
Coefficient of variation (CV)0.9022643596
Kurtosis-1.478474678
Mean98.67518571
Median Absolute Deviation (MAD)88
Skewness0.2429741353
Sum6907263
Variance7926.537346
MonotonicityNot monotonic
2025-03-23T12:51:27.081228image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19967
28.5%
255 883
 
1.3%
1 469
 
0.7%
2 367
 
0.5%
213 332
 
0.5%
220 319
 
0.5%
3 319
 
0.5%
221 306
 
0.4%
211 304
 
0.4%
223 302
 
0.4%
Other values (246) 46432
66.3%
ValueCountFrequency (%)
0 19967
28.5%
1 469
 
0.7%
2 367
 
0.5%
3 319
 
0.5%
4 207
 
0.3%
ValueCountFrequency (%)
255 883
1.3%
254 162
 
0.2%
253 136
 
0.2%
252 106
 
0.2%
251 108
 
0.2%

540
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.6969286
Minimum0
Maximum255
Zeros13929
Zeros (%)19.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:27.237492image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q124
median123
Q3196
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)172

Descriptive statistics

Standard deviation86.58553924
Coefficient of variation (CV)0.7483823496
Kurtosis-1.455746012
Mean115.6969286
Median Absolute Deviation (MAD)82
Skewness-0.0482254194
Sum8098785
Variance7497.055606
MonotonicityNot monotonic
2025-03-23T12:51:27.393694image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13929
 
19.9%
255 1164
 
1.7%
221 382
 
0.5%
220 379
 
0.5%
223 377
 
0.5%
213 373
 
0.5%
225 371
 
0.5%
224 368
 
0.5%
227 358
 
0.5%
210 355
 
0.5%
Other values (246) 51944
74.2%
ValueCountFrequency (%)
0 13929
19.9%
1 255
 
0.4%
2 205
 
0.3%
3 190
 
0.3%
4 141
 
0.2%
ValueCountFrequency (%)
255 1164
1.7%
254 192
 
0.3%
253 142
 
0.2%
252 126
 
0.2%
251 107
 
0.2%

541
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137.0179286
Minimum0
Maximum255
Zeros8151
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:27.534246image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q168
median156
Q3208
95-th percentile243
Maximum255
Range255
Interquartile range (IQR)140

Descriptive statistics

Standard deviation81.69124887
Coefficient of variation (CV)0.596208465
Kurtosis-1.171026636
Mean137.0179286
Median Absolute Deviation (MAD)62
Skewness-0.4006416772
Sum9591255
Variance6673.460142
MonotonicityNot monotonic
2025-03-23T12:51:27.690499image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8151
 
11.6%
255 1495
 
2.1%
222 494
 
0.7%
215 492
 
0.7%
227 491
 
0.7%
221 489
 
0.7%
224 482
 
0.7%
219 481
 
0.7%
225 477
 
0.7%
218 475
 
0.7%
Other values (246) 56473
80.7%
ValueCountFrequency (%)
0 8151
11.6%
1 189
 
0.3%
2 156
 
0.2%
3 112
 
0.2%
4 110
 
0.2%
ValueCountFrequency (%)
255 1495
2.1%
254 233
 
0.3%
253 206
 
0.3%
252 166
 
0.2%
251 125
 
0.2%

542
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148.6753286
Minimum0
Maximum255
Zeros4571
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:27.831087image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q194
median169
Q3211
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)117

Descriptive statistics

Standard deviation74.49760054
Coefficient of variation (CV)0.5010757418
Kurtosis-0.7920188738
Mean148.6753286
Median Absolute Deviation (MAD)50
Skewness-0.6317155002
Sum10407273
Variance5549.892487
MonotonicityNot monotonic
2025-03-23T12:51:27.987321image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4571
 
6.5%
255 789
 
1.1%
222 602
 
0.9%
220 591
 
0.8%
221 586
 
0.8%
217 584
 
0.8%
227 583
 
0.8%
228 579
 
0.8%
219 578
 
0.8%
224 566
 
0.8%
Other values (246) 59971
85.7%
ValueCountFrequency (%)
0 4571
6.5%
1 177
 
0.3%
2 128
 
0.2%
3 98
 
0.1%
4 86
 
0.1%
ValueCountFrequency (%)
255 789
1.1%
254 141
 
0.2%
253 117
 
0.2%
252 106
 
0.2%
251 76
 
0.1%

543
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152.3830857
Minimum0
Maximum255
Zeros4193
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:28.127901image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1101
median175
Q3213
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)112

Descriptive statistics

Standard deviation73.36449993
Coefficient of variation (CV)0.4814477905
Kurtosis-0.6715084776
Mean152.3830857
Median Absolute Deviation (MAD)47
Skewness-0.7161157968
Sum10666816
Variance5382.34985
MonotonicityNot monotonic
2025-03-23T12:51:28.268488image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4193
 
6.0%
219 659
 
0.9%
224 655
 
0.9%
228 638
 
0.9%
220 636
 
0.9%
221 635
 
0.9%
229 630
 
0.9%
226 629
 
0.9%
222 626
 
0.9%
225 621
 
0.9%
Other values (246) 60078
85.8%
ValueCountFrequency (%)
0 4193
6.0%
1 179
 
0.3%
2 111
 
0.2%
3 79
 
0.1%
4 65
 
0.1%
ValueCountFrequency (%)
255 451
0.6%
254 97
 
0.1%
253 76
 
0.1%
252 86
 
0.1%
251 72
 
0.1%

544
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean151.5891
Minimum0
Maximum255
Zeros4431
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:28.424702image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q197
median174
Q3214
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)117

Descriptive statistics

Standard deviation74.76456055
Coefficient of variation (CV)0.4932053858
Kurtosis-0.7544670202
Mean151.5891
Median Absolute Deviation (MAD)49
Skewness-0.6782884176
Sum10611237
Variance5589.739515
MonotonicityNot monotonic
2025-03-23T12:51:28.565296image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4431
 
6.3%
255 661
 
0.9%
223 643
 
0.9%
218 637
 
0.9%
228 628
 
0.9%
222 627
 
0.9%
221 626
 
0.9%
220 618
 
0.9%
232 618
 
0.9%
231 614
 
0.9%
Other values (246) 59897
85.6%
ValueCountFrequency (%)
0 4431
6.3%
1 170
 
0.2%
2 125
 
0.2%
3 77
 
0.1%
4 67
 
0.1%
ValueCountFrequency (%)
255 661
0.9%
254 121
 
0.2%
253 113
 
0.2%
252 101
 
0.1%
251 85
 
0.1%

545
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.1801286
Minimum0
Maximum255
Zeros7129
Zeros (%)10.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:28.705844image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q176
median164
Q3210
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)134

Descriptive statistics

Standard deviation79.52953797
Coefficient of variation (CV)0.5633196313
Kurtosis-1.068748228
Mean141.1801286
Median Absolute Deviation (MAD)56
Skewness-0.5253226068
Sum9882609
Variance6324.94741
MonotonicityNot monotonic
2025-03-23T12:51:28.862096image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7129
 
10.2%
217 594
 
0.8%
220 591
 
0.8%
225 590
 
0.8%
224 589
 
0.8%
228 583
 
0.8%
231 578
 
0.8%
227 575
 
0.8%
226 569
 
0.8%
223 563
 
0.8%
Other values (246) 57639
82.3%
ValueCountFrequency (%)
0 7129
10.2%
1 225
 
0.3%
2 158
 
0.2%
3 124
 
0.2%
4 108
 
0.2%
ValueCountFrequency (%)
255 488
0.7%
254 97
 
0.1%
253 76
 
0.1%
252 86
 
0.1%
251 70
 
0.1%

546
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean136.3481857
Minimum0
Maximum255
Zeros9474
Zeros (%)13.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:29.393220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q165
median160
Q3209
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)144

Descriptive statistics

Standard deviation82.36127038
Coefficient of variation (CV)0.6040510913
Kurtosis-1.200341898
Mean136.3481857
Median Absolute Deviation (MAD)60
Skewness-0.466812296
Sum9544373
Variance6783.378858
MonotonicityNot monotonic
2025-03-23T12:51:29.549437image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9474
 
13.5%
222 599
 
0.9%
228 578
 
0.8%
223 574
 
0.8%
220 573
 
0.8%
226 564
 
0.8%
225 559
 
0.8%
221 558
 
0.8%
224 556
 
0.8%
227 548
 
0.8%
Other values (246) 55417
79.2%
ValueCountFrequency (%)
0 9474
13.5%
1 176
 
0.3%
2 175
 
0.2%
3 118
 
0.2%
4 128
 
0.2%
ValueCountFrequency (%)
255 377
0.5%
254 81
 
0.1%
253 68
 
0.1%
252 75
 
0.1%
251 68
 
0.1%

547
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean146.5017857
Minimum0
Maximum255
Zeros5231
Zeros (%)7.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:29.690026image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q186
median169
Q3212
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)126

Descriptive statistics

Standard deviation77.06121595
Coefficient of variation (CV)0.5260087143
Kurtosis-0.9428275908
Mean146.5017857
Median Absolute Deviation (MAD)53
Skewness-0.5835086258
Sum10255125
Variance5938.431003
MonotonicityNot monotonic
2025-03-23T12:51:29.846244image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5231
 
7.5%
255 719
 
1.0%
228 620
 
0.9%
224 610
 
0.9%
227 602
 
0.9%
222 601
 
0.9%
225 600
 
0.9%
221 600
 
0.9%
229 592
 
0.8%
230 585
 
0.8%
Other values (246) 59240
84.6%
ValueCountFrequency (%)
0 5231
7.5%
1 147
 
0.2%
2 110
 
0.2%
3 101
 
0.1%
4 75
 
0.1%
ValueCountFrequency (%)
255 719
1.0%
254 127
 
0.2%
253 116
 
0.2%
252 78
 
0.1%
251 83
 
0.1%

548
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153.5492286
Minimum0
Maximum255
Zeros3793
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:29.986794image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1100
median177
Q3214
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)114

Descriptive statistics

Standard deviation73.84453876
Coefficient of variation (CV)0.48091768
Kurtosis-0.7051863227
Mean153.5492286
Median Absolute Deviation (MAD)46
Skewness-0.7098916462
Sum10748446
Variance5453.015905
MonotonicityNot monotonic
2025-03-23T12:51:30.143049image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3793
 
5.4%
217 673
 
1.0%
226 649
 
0.9%
223 649
 
0.9%
228 642
 
0.9%
227 637
 
0.9%
218 629
 
0.9%
220 628
 
0.9%
215 626
 
0.9%
230 624
 
0.9%
Other values (246) 60450
86.4%
ValueCountFrequency (%)
0 3793
5.4%
1 125
 
0.2%
2 75
 
0.1%
3 93
 
0.1%
4 64
 
0.1%
ValueCountFrequency (%)
255 592
0.8%
254 139
 
0.2%
253 91
 
0.1%
252 125
 
0.2%
251 124
 
0.2%

549
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean150.2863857
Minimum0
Maximum255
Zeros4212
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:30.283640image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q195
median173
Q3213
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)118

Descriptive statistics

Standard deviation74.71934353
Coefficient of variation (CV)0.4971797224
Kurtosis-0.7934824176
Mean150.2863857
Median Absolute Deviation (MAD)49
Skewness-0.6617796029
Sum10520047
Variance5582.980297
MonotonicityNot monotonic
2025-03-23T12:51:30.439811image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4212
 
6.0%
255 662
 
0.9%
221 652
 
0.9%
224 635
 
0.9%
217 628
 
0.9%
222 621
 
0.9%
219 617
 
0.9%
220 616
 
0.9%
226 614
 
0.9%
227 604
 
0.9%
Other values (246) 60139
85.9%
ValueCountFrequency (%)
0 4212
6.0%
1 149
 
0.2%
2 132
 
0.2%
3 113
 
0.2%
4 102
 
0.1%
ValueCountFrequency (%)
255 662
0.9%
254 98
 
0.1%
253 98
 
0.1%
252 105
 
0.1%
251 97
 
0.1%

550
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142.4654857
Minimum0
Maximum255
Zeros6202
Zeros (%)8.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:30.580440image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q177
median164
Q3211
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)134

Descriptive statistics

Standard deviation79.36289211
Coefficient of variation (CV)0.557067501
Kurtosis-1.062192617
Mean142.4654857
Median Absolute Deviation (MAD)56
Skewness-0.501656091
Sum9972584
Variance6298.468644
MonotonicityNot monotonic
2025-03-23T12:51:30.736660image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6202
 
8.9%
255 1258
 
1.8%
216 564
 
0.8%
222 558
 
0.8%
224 557
 
0.8%
214 557
 
0.8%
217 553
 
0.8%
213 550
 
0.8%
227 544
 
0.8%
218 536
 
0.8%
Other values (246) 58121
83.0%
ValueCountFrequency (%)
0 6202
8.9%
1 214
 
0.3%
2 195
 
0.3%
3 129
 
0.2%
4 108
 
0.2%
ValueCountFrequency (%)
255 1258
1.8%
254 188
 
0.3%
253 152
 
0.2%
252 152
 
0.2%
251 120
 
0.2%

551
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.4106286
Minimum0
Maximum255
Zeros11291
Zeros (%)16.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:30.887272image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q137
median139
Q3204
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)167

Descriptive statistics

Standard deviation86.3069565
Coefficient of variation (CV)0.6937265529
Kurtosis-1.426766886
Mean124.4106286
Median Absolute Deviation (MAD)76
Skewness-0.1893750729
Sum8708744
Variance7448.89074
MonotonicityNot monotonic
2025-03-23T12:51:31.027813image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11291
 
16.1%
255 1344
 
1.9%
222 472
 
0.7%
209 468
 
0.7%
218 459
 
0.7%
214 454
 
0.6%
219 446
 
0.6%
213 445
 
0.6%
223 444
 
0.6%
206 442
 
0.6%
Other values (246) 53735
76.8%
ValueCountFrequency (%)
0 11291
16.1%
1 396
 
0.6%
2 277
 
0.4%
3 210
 
0.3%
4 186
 
0.3%
ValueCountFrequency (%)
255 1344
1.9%
254 204
 
0.3%
253 174
 
0.2%
252 151
 
0.2%
251 139
 
0.2%

552
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.6444429
Minimum0
Maximum255
Zeros17518
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:31.184068image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median101
Q3192
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)192

Descriptive statistics

Standard deviation88.84791753
Coefficient of variation (CV)0.8490457315
Kurtosis-1.525390761
Mean104.6444429
Median Absolute Deviation (MAD)96
Skewness0.1328458062
Sum7325111
Variance7893.95245
MonotonicityNot monotonic
2025-03-23T12:51:31.324656image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17518
 
25.0%
255 816
 
1.2%
1 486
 
0.7%
2 383
 
0.5%
215 381
 
0.5%
220 371
 
0.5%
218 360
 
0.5%
211 356
 
0.5%
219 355
 
0.5%
222 352
 
0.5%
Other values (246) 48622
69.5%
ValueCountFrequency (%)
0 17518
25.0%
1 486
 
0.7%
2 383
 
0.5%
3 302
 
0.4%
4 244
 
0.3%
ValueCountFrequency (%)
255 816
1.2%
254 118
 
0.2%
253 108
 
0.2%
252 101
 
0.1%
251 89
 
0.1%

553
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.8783
Minimum0
Maximum255
Zeros22039
Zeros (%)31.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:31.465209image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median92
Q3197
95-th percentile242
Maximum255
Range255
Interquartile range (IQR)197

Descriptive statistics

Standard deviation94.0250247
Coefficient of variation (CV)0.9229151321
Kurtosis-1.599979215
Mean101.8783
Median Absolute Deviation (MAD)92
Skewness0.1910548416
Sum7131481
Variance8840.705271
MonotonicityNot monotonic
2025-03-23T12:51:31.605840image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22039
31.5%
255 1353
 
1.9%
1 582
 
0.8%
2 508
 
0.7%
225 379
 
0.5%
3 378
 
0.5%
222 377
 
0.5%
210 373
 
0.5%
211 372
 
0.5%
226 350
 
0.5%
Other values (246) 43289
61.8%
ValueCountFrequency (%)
0 22039
31.5%
1 582
 
0.8%
2 508
 
0.7%
3 378
 
0.5%
4 250
 
0.4%
ValueCountFrequency (%)
255 1353
1.9%
254 253
 
0.4%
253 146
 
0.2%
252 150
 
0.2%
251 127
 
0.2%

554
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.85274286
Minimum0
Maximum255
Zeros23849
Zeros (%)34.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:31.746433image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median81
Q3195
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)195

Descriptive statistics

Standard deviation94.79296069
Coefficient of variation (CV)0.9687307471
Kurtosis-1.601686639
Mean97.85274286
Median Absolute Deviation (MAD)81
Skewness0.2493795485
Sum6849692
Variance8985.705397
MonotonicityNot monotonic
2025-03-23T12:51:31.902647image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23849
34.1%
255 1259
 
1.8%
1 981
 
1.4%
2 724
 
1.0%
3 641
 
0.9%
4 416
 
0.6%
215 367
 
0.5%
216 361
 
0.5%
222 356
 
0.5%
209 353
 
0.5%
Other values (246) 40693
58.1%
ValueCountFrequency (%)
0 23849
34.1%
1 981
 
1.4%
2 724
 
1.0%
3 641
 
0.9%
4 416
 
0.6%
ValueCountFrequency (%)
255 1259
1.8%
254 223
 
0.3%
253 154
 
0.2%
252 129
 
0.2%
251 144
 
0.2%

555
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.72782857
Minimum0
Maximum255
Zeros26373
Zeros (%)37.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:32.043241image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median56
Q3179
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)179

Descriptive statistics

Standard deviation90.78478542
Coefficient of variation (CV)1.046778029
Kurtosis-1.4347995
Mean86.72782857
Median Absolute Deviation (MAD)56
Skewness0.4327106453
Sum6070948
Variance8241.877264
MonotonicityNot monotonic
2025-03-23T12:51:32.183789image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26373
37.7%
1 1092
 
1.6%
255 775
 
1.1%
2 719
 
1.0%
3 562
 
0.8%
4 349
 
0.5%
200 304
 
0.4%
222 302
 
0.4%
209 300
 
0.4%
215 297
 
0.4%
Other values (246) 38927
55.6%
ValueCountFrequency (%)
0 26373
37.7%
1 1092
 
1.6%
2 719
 
1.0%
3 562
 
0.8%
4 349
 
0.5%
ValueCountFrequency (%)
255 775
1.1%
254 153
 
0.2%
253 102
 
0.1%
252 102
 
0.1%
251 75
 
0.1%

556
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.74171429
Minimum0
Maximum255
Zeros34897
Zeros (%)49.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:32.324420image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q3141
95-th percentile224
Maximum255
Range255
Interquartile range (IQR)141

Descriptive statistics

Standard deviation84.57848525
Coefficient of variation (CV)1.267250717
Kurtosis-0.9186891343
Mean66.74171429
Median Absolute Deviation (MAD)1
Skewness0.8243538217
Sum4671920
Variance7153.520167
MonotonicityNot monotonic
2025-03-23T12:51:32.480636image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34897
49.9%
1 472
 
0.7%
255 311
 
0.4%
2 254
 
0.4%
205 240
 
0.3%
215 236
 
0.3%
210 233
 
0.3%
201 232
 
0.3%
214 230
 
0.3%
209 229
 
0.3%
Other values (246) 32666
46.7%
ValueCountFrequency (%)
0 34897
49.9%
1 472
 
0.7%
2 254
 
0.4%
3 199
 
0.3%
4 143
 
0.2%
ValueCountFrequency (%)
255 311
0.4%
254 62
 
0.1%
253 35
 
0.1%
252 51
 
0.1%
251 33
 
< 0.1%

557
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.60781429
Minimum0
Maximum255
Zeros43546
Zeros (%)62.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:32.636844image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q399
95-th percentile218
Maximum255
Range255
Interquartile range (IQR)99

Descriptive statistics

Standard deviation80.5083009
Coefficient of variation (CV)1.560002143
Kurtosis-0.1659082626
Mean51.60781429
Median Absolute Deviation (MAD)0
Skewness1.212339934
Sum3612547
Variance6481.586513
MonotonicityNot monotonic
2025-03-23T12:51:32.777436image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43546
62.2%
255 291
 
0.4%
1 291
 
0.4%
198 226
 
0.3%
201 219
 
0.3%
204 218
 
0.3%
209 218
 
0.3%
210 217
 
0.3%
208 211
 
0.3%
205 210
 
0.3%
Other values (246) 24353
34.8%
ValueCountFrequency (%)
0 43546
62.2%
1 291
 
0.4%
2 172
 
0.2%
3 100
 
0.1%
4 96
 
0.1%
ValueCountFrequency (%)
255 291
0.4%
254 50
 
0.1%
253 38
 
0.1%
252 26
 
< 0.1%
251 30
 
< 0.1%

558
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.8761
Minimum0
Maximum255
Zeros47774
Zeros (%)68.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:32.917991image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q344
95-th percentile227
Maximum255
Range255
Interquartile range (IQR)44

Descriptive statistics

Standard deviation76.66688335
Coefficient of variation (CV)1.830802853
Kurtosis1.158021445
Mean41.8761
Median Absolute Deviation (MAD)0
Skewness1.639386608
Sum2931327
Variance5877.811003
MonotonicityNot monotonic
2025-03-23T12:51:33.074244image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 47774
68.2%
255 965
 
1.4%
1 248
 
0.4%
2 167
 
0.2%
3 146
 
0.2%
230 132
 
0.2%
225 129
 
0.2%
209 126
 
0.2%
215 125
 
0.2%
227 123
 
0.2%
Other values (246) 20065
28.7%
ValueCountFrequency (%)
0 47774
68.2%
1 248
 
0.4%
2 167
 
0.2%
3 146
 
0.2%
4 122
 
0.2%
ValueCountFrequency (%)
255 965
1.4%
254 87
 
0.1%
253 71
 
0.1%
252 80
 
0.1%
251 54
 
0.1%

559
Real number (ℝ)

Zeros 

Distinct229
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.74407143
Minimum0
Maximum245
Zeros56301
Zeros (%)80.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:33.214842image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile79
Maximum245
Range245
Interquartile range (IQR)0

Descriptive statistics

Standard deviation30.00864317
Coefficient of variation (CV)2.793042039
Kurtosis12.73501301
Mean10.74407143
Median Absolute Deviation (MAD)0
Skewness3.454480194
Sum752085
Variance900.5186651
MonotonicityNot monotonic
2025-03-23T12:51:33.371046image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56301
80.4%
1 492
 
0.7%
2 327
 
0.5%
3 257
 
0.4%
5 180
 
0.3%
4 178
 
0.3%
6 175
 
0.2%
10 175
 
0.2%
15 171
 
0.2%
7 170
 
0.2%
Other values (219) 11574
 
16.5%
ValueCountFrequency (%)
0 56301
80.4%
1 492
 
0.7%
2 327
 
0.5%
3 257
 
0.4%
4 178
 
0.3%
ValueCountFrequency (%)
245 1
< 0.1%
240 2
< 0.1%
239 1
< 0.1%
237 1
< 0.1%
232 1
< 0.1%

560
Real number (ℝ)

Zeros 

Distinct233
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.666342857
Minimum0
Maximum255
Zeros61169
Zeros (%)87.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:33.511644image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile54
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation25.28105509
Coefficient of variation (CV)3.792342462
Kurtosis23.44597119
Mean6.666342857
Median Absolute Deviation (MAD)0
Skewness4.649168824
Sum466644
Variance639.1317462
MonotonicityNot monotonic
2025-03-23T12:51:33.667814image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 61169
87.4%
1 913
 
1.3%
2 451
 
0.6%
3 291
 
0.4%
4 155
 
0.2%
5 131
 
0.2%
6 122
 
0.2%
7 119
 
0.2%
9 107
 
0.2%
8 97
 
0.1%
Other values (223) 6445
 
9.2%
ValueCountFrequency (%)
0 61169
87.4%
1 913
 
1.3%
2 451
 
0.6%
3 291
 
0.4%
4 155
 
0.2%
ValueCountFrequency (%)
255 2
< 0.1%
254 1
< 0.1%
253 1
< 0.1%
251 1
< 0.1%
249 1
< 0.1%

561
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.46108571
Minimum0
Maximum255
Zeros56639
Zeros (%)80.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:33.824066image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile181
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation56.25989198
Coefficient of variation (CV)2.621483961
Kurtosis5.809924861
Mean21.46108571
Median Absolute Deviation (MAD)0
Skewness2.652174253
Sum1502276
Variance3165.175445
MonotonicityNot monotonic
2025-03-23T12:51:33.964664image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56639
80.9%
1 653
 
0.9%
2 392
 
0.6%
3 243
 
0.3%
255 218
 
0.3%
4 154
 
0.2%
5 151
 
0.2%
6 132
 
0.2%
8 81
 
0.1%
7 81
 
0.1%
Other values (246) 11256
 
16.1%
ValueCountFrequency (%)
0 56639
80.9%
1 653
 
0.9%
2 392
 
0.6%
3 243
 
0.3%
4 154
 
0.2%
ValueCountFrequency (%)
255 218
0.3%
254 21
 
< 0.1%
253 21
 
< 0.1%
252 14
 
< 0.1%
251 18
 
< 0.1%

562
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.61404286
Minimum0
Maximum255
Zeros53406
Zeros (%)76.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:34.120869image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile195
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation63.42645578
Coefficient of variation (CV)2.216619864
Kurtosis3.025149667
Mean28.61404286
Median Absolute Deviation (MAD)0
Skewness2.110823181
Sum2002983
Variance4022.915293
MonotonicityNot monotonic
2025-03-23T12:51:34.261423image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53406
76.3%
1 542
 
0.8%
2 300
 
0.4%
3 215
 
0.3%
4 173
 
0.2%
255 153
 
0.2%
5 149
 
0.2%
6 113
 
0.2%
195 113
 
0.2%
190 107
 
0.2%
Other values (246) 14729
 
21.0%
ValueCountFrequency (%)
0 53406
76.3%
1 542
 
0.8%
2 300
 
0.4%
3 215
 
0.3%
4 173
 
0.2%
ValueCountFrequency (%)
255 153
0.2%
254 29
 
< 0.1%
253 16
 
< 0.1%
252 16
 
< 0.1%
251 15
 
< 0.1%

563
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.15187143
Minimum0
Maximum255
Zeros46585
Zeros (%)66.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:34.417637image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q358
95-th percentile210
Maximum255
Range255
Interquartile range (IQR)58

Descriptive statistics

Standard deviation72.37149538
Coefficient of variation (CV)1.758644088
Kurtosis0.9060943996
Mean41.15187143
Median Absolute Deviation (MAD)0
Skewness1.545497191
Sum2880631
Variance5237.633344
MonotonicityNot monotonic
2025-03-23T12:51:34.558272image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46585
66.5%
1 615
 
0.9%
2 279
 
0.4%
3 254
 
0.4%
255 253
 
0.4%
4 171
 
0.2%
213 143
 
0.2%
5 139
 
0.2%
204 136
 
0.2%
200 129
 
0.2%
Other values (246) 21296
30.4%
ValueCountFrequency (%)
0 46585
66.5%
1 615
 
0.9%
2 279
 
0.4%
3 254
 
0.4%
4 171
 
0.2%
ValueCountFrequency (%)
255 253
0.4%
254 36
 
0.1%
253 37
 
0.1%
252 26
 
< 0.1%
251 18
 
< 0.1%

564
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.26128571
Minimum0
Maximum255
Zeros35086
Zeros (%)50.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:34.714489image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3135
95-th percentile226
Maximum255
Range255
Interquartile range (IQR)135

Descriptive statistics

Standard deviation83.63912077
Coefficient of variation (CV)1.301547578
Kurtosis-0.771467057
Mean64.26128571
Median Absolute Deviation (MAD)0
Skewness0.886202094
Sum4498290
Variance6995.502523
MonotonicityNot monotonic
2025-03-23T12:51:34.855073image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35086
50.1%
1 928
 
1.3%
255 549
 
0.8%
2 519
 
0.7%
3 368
 
0.5%
4 268
 
0.4%
5 190
 
0.3%
201 188
 
0.3%
218 188
 
0.3%
180 188
 
0.3%
Other values (246) 31528
45.0%
ValueCountFrequency (%)
0 35086
50.1%
1 928
 
1.3%
2 519
 
0.7%
3 368
 
0.5%
4 268
 
0.4%
ValueCountFrequency (%)
255 549
0.8%
254 97
 
0.1%
253 69
 
0.1%
252 58
 
0.1%
251 64
 
0.1%

565
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.37157143
Minimum0
Maximum255
Zeros28555
Zeros (%)40.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:35.401821image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median30
Q3174
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)174

Descriptive statistics

Standard deviation91.61829288
Coefficient of variation (CV)1.125925078
Kurtosis-1.338896362
Mean81.37157143
Median Absolute Deviation (MAD)30
Skewness0.5536281904
Sum5696010
Variance8393.911591
MonotonicityNot monotonic
2025-03-23T12:51:35.557995image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28555
40.8%
1 1222
 
1.7%
255 957
 
1.4%
2 934
 
1.3%
3 740
 
1.1%
4 480
 
0.7%
5 317
 
0.5%
215 280
 
0.4%
212 274
 
0.4%
230 271
 
0.4%
Other values (246) 35970
51.4%
ValueCountFrequency (%)
0 28555
40.8%
1 1222
 
1.7%
2 934
 
1.3%
3 740
 
1.1%
4 480
 
0.7%
ValueCountFrequency (%)
255 957
1.4%
254 175
 
0.2%
253 125
 
0.2%
252 99
 
0.1%
251 105
 
0.1%

566
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.04825714
Minimum0
Maximum255
Zeros26910
Zeros (%)38.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:35.698585image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median61
Q3187
95-th percentile242
Maximum255
Range255
Interquartile range (IQR)187

Descriptive statistics

Standard deviation94.08153442
Coefficient of variation (CV)1.03331505
Kurtosis-1.495479683
Mean91.04825714
Median Absolute Deviation (MAD)61
Skewness0.3871492928
Sum6373378
Variance8851.335119
MonotonicityNot monotonic
2025-03-23T12:51:35.854841image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26910
38.4%
255 1590
 
2.3%
1 619
 
0.9%
2 526
 
0.8%
3 425
 
0.6%
221 325
 
0.5%
214 312
 
0.4%
212 297
 
0.4%
222 294
 
0.4%
218 292
 
0.4%
Other values (246) 38410
54.9%
ValueCountFrequency (%)
0 26910
38.4%
1 619
 
0.9%
2 526
 
0.8%
3 425
 
0.6%
4 239
 
0.3%
ValueCountFrequency (%)
255 1590
2.3%
254 226
 
0.3%
253 163
 
0.2%
252 137
 
0.2%
251 135
 
0.2%

567
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.47005714
Minimum0
Maximum255
Zeros22380
Zeros (%)32.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:35.995432image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median79
Q3182
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)182

Descriptive statistics

Standard deviation89.3739047
Coefficient of variation (CV)0.9460553683
Kurtosis-1.457730081
Mean94.47005714
Median Absolute Deviation (MAD)79
Skewness0.3106334967
Sum6612904
Variance7987.694842
MonotonicityNot monotonic
2025-03-23T12:51:36.151639image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22380
32.0%
255 918
 
1.3%
1 429
 
0.6%
2 359
 
0.5%
213 312
 
0.4%
219 307
 
0.4%
215 301
 
0.4%
220 297
 
0.4%
207 292
 
0.4%
230 285
 
0.4%
Other values (246) 44120
63.0%
ValueCountFrequency (%)
0 22380
32.0%
1 429
 
0.6%
2 359
 
0.5%
3 253
 
0.4%
4 202
 
0.3%
ValueCountFrequency (%)
255 918
1.3%
254 143
 
0.2%
253 109
 
0.2%
252 88
 
0.1%
251 108
 
0.2%

568
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.8464286
Minimum0
Maximum255
Zeros16628
Zeros (%)23.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:36.292232image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median120
Q3197
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)191

Descriptive statistics

Standard deviation88.5024579
Coefficient of variation (CV)0.7842734504
Kurtosis-1.500271514
Mean112.8464286
Median Absolute Deviation (MAD)87
Skewness-0.0127251762
Sum7899250
Variance7832.685054
MonotonicityNot monotonic
2025-03-23T12:51:36.448408image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16628
 
23.8%
255 1205
 
1.7%
217 380
 
0.5%
214 377
 
0.5%
218 374
 
0.5%
211 373
 
0.5%
224 365
 
0.5%
206 364
 
0.5%
204 363
 
0.5%
219 359
 
0.5%
Other values (246) 49212
70.3%
ValueCountFrequency (%)
0 16628
23.8%
1 205
 
0.3%
2 214
 
0.3%
3 159
 
0.2%
4 116
 
0.2%
ValueCountFrequency (%)
255 1205
1.7%
254 193
 
0.3%
253 146
 
0.2%
252 114
 
0.2%
251 118
 
0.2%

569
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean132.8121286
Minimum0
Maximum255
Zeros11065
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:36.589036image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q156
median153
Q3208
95-th percentile242
Maximum255
Range255
Interquartile range (IQR)152

Descriptive statistics

Standard deviation84.79624425
Coefficient of variation (CV)0.6384676246
Kurtosis-1.280973895
Mean132.8121286
Median Absolute Deviation (MAD)66
Skewness-0.3566230615
Sum9296849
Variance7190.403039
MonotonicityNot monotonic
2025-03-23T12:51:36.745254image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11065
 
15.8%
255 1412
 
2.0%
221 522
 
0.7%
224 514
 
0.7%
226 489
 
0.7%
212 486
 
0.7%
225 486
 
0.7%
220 486
 
0.7%
216 475
 
0.7%
206 474
 
0.7%
Other values (246) 53591
76.6%
ValueCountFrequency (%)
0 11065
15.8%
1 151
 
0.2%
2 131
 
0.2%
3 102
 
0.1%
4 95
 
0.1%
ValueCountFrequency (%)
255 1412
2.0%
254 212
 
0.3%
253 215
 
0.3%
252 143
 
0.2%
251 132
 
0.2%

570
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean144.3173429
Minimum0
Maximum255
Zeros7364
Zeros (%)10.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:36.901463image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q185
median167
Q3211
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)126

Descriptive statistics

Standard deviation78.57196193
Coefficient of variation (CV)0.5444388067
Kurtosis-0.9374653411
Mean144.3173429
Median Absolute Deviation (MAD)53
Skewness-0.5937578357
Sum10102214
Variance6173.553201
MonotonicityNot monotonic
2025-03-23T12:51:37.042055image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7364
 
10.5%
255 722
 
1.0%
221 608
 
0.9%
219 602
 
0.9%
227 598
 
0.9%
222 582
 
0.8%
220 571
 
0.8%
223 570
 
0.8%
210 569
 
0.8%
225 569
 
0.8%
Other values (246) 57245
81.8%
ValueCountFrequency (%)
0 7364
10.5%
1 168
 
0.2%
2 115
 
0.2%
3 90
 
0.1%
4 61
 
0.1%
ValueCountFrequency (%)
255 722
1.0%
254 137
 
0.2%
253 102
 
0.1%
252 92
 
0.1%
251 100
 
0.1%

571
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148.1285857
Minimum0
Maximum255
Zeros6866
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:37.182648image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q191
median173
Q3213
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)122

Descriptive statistics

Standard deviation77.86040547
Coefficient of variation (CV)0.5256271441
Kurtosis-0.8360692309
Mean148.1285857
Median Absolute Deviation (MAD)50
Skewness-0.6731828155
Sum10369001
Variance6062.242741
MonotonicityNot monotonic
2025-03-23T12:51:37.338823image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6866
 
9.8%
225 664
 
0.9%
221 662
 
0.9%
220 656
 
0.9%
219 640
 
0.9%
224 639
 
0.9%
223 638
 
0.9%
228 637
 
0.9%
227 635
 
0.9%
218 621
 
0.9%
Other values (246) 57342
81.9%
ValueCountFrequency (%)
0 6866
9.8%
1 152
 
0.2%
2 120
 
0.2%
3 69
 
0.1%
4 65
 
0.1%
ValueCountFrequency (%)
255 481
0.7%
254 97
 
0.1%
253 79
 
0.1%
252 80
 
0.1%
251 83
 
0.1%

572
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean147.0974714
Minimum0
Maximum255
Zeros7140
Zeros (%)10.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:37.481382image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q187
median172
Q3214
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)127

Descriptive statistics

Standard deviation78.91704359
Coefficient of variation (CV)0.5364949025
Kurtosis-0.9074786834
Mean147.0974714
Median Absolute Deviation (MAD)52
Skewness-0.6323866019
Sum10296823
Variance6227.899769
MonotonicityNot monotonic
2025-03-23T12:51:37.637594image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7140
 
10.2%
228 680
 
1.0%
255 645
 
0.9%
222 640
 
0.9%
229 630
 
0.9%
226 625
 
0.9%
221 625
 
0.9%
225 617
 
0.9%
220 614
 
0.9%
227 613
 
0.9%
Other values (246) 57171
81.7%
ValueCountFrequency (%)
0 7140
10.2%
1 166
 
0.2%
2 103
 
0.1%
3 74
 
0.1%
4 66
 
0.1%
ValueCountFrequency (%)
255 645
0.9%
254 127
 
0.2%
253 120
 
0.2%
252 89
 
0.1%
251 88
 
0.1%

573
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean136.4932286
Minimum0
Maximum255
Zeros9853
Zeros (%)14.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:37.803020image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q164
median160
Q3210
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)146

Descriptive statistics

Standard deviation83.01461319
Coefficient of variation (CV)0.6081958355
Kurtosis-1.213992997
Mean136.4932286
Median Absolute Deviation (MAD)61
Skewness-0.4578346136
Sum9554526
Variance6891.426003
MonotonicityNot monotonic
2025-03-23T12:51:37.943657image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9853
 
14.1%
228 605
 
0.9%
223 587
 
0.8%
226 583
 
0.8%
230 572
 
0.8%
229 572
 
0.8%
225 559
 
0.8%
218 558
 
0.8%
227 558
 
0.8%
222 552
 
0.8%
Other values (246) 55001
78.6%
ValueCountFrequency (%)
0 9853
14.1%
1 190
 
0.3%
2 136
 
0.2%
3 105
 
0.1%
4 107
 
0.2%
ValueCountFrequency (%)
255 491
0.7%
254 93
 
0.1%
253 73
 
0.1%
252 60
 
0.1%
251 75
 
0.1%

574
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130.9495143
Minimum0
Maximum255
Zeros12434
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:38.099869image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q148
median155
Q3208
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)160

Descriptive statistics

Standard deviation85.71718656
Coefficient of variation (CV)0.6545819358
Kurtosis-1.348424396
Mean130.9495143
Median Absolute Deviation (MAD)65
Skewness-0.380294986
Sum9166466
Variance7347.436072
MonotonicityNot monotonic
2025-03-23T12:51:38.240460image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12434
 
17.8%
219 592
 
0.8%
223 572
 
0.8%
221 552
 
0.8%
230 546
 
0.8%
231 545
 
0.8%
229 543
 
0.8%
218 542
 
0.8%
227 541
 
0.8%
222 541
 
0.8%
Other values (246) 52592
75.1%
ValueCountFrequency (%)
0 12434
17.8%
1 180
 
0.3%
2 147
 
0.2%
3 96
 
0.1%
4 99
 
0.1%
ValueCountFrequency (%)
255 371
0.5%
254 83
 
0.1%
253 62
 
0.1%
252 66
 
0.1%
251 84
 
0.1%

575
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean140.1447714
Minimum0
Maximum255
Zeros8667
Zeros (%)12.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:38.396688image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q171
median165
Q3211
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)140

Descriptive statistics

Standard deviation81.84939115
Coefficient of variation (CV)0.5840345688
Kurtosis-1.133081027
Mean140.1447714
Median Absolute Deviation (MAD)57
Skewness-0.5059296621
Sum9810134
Variance6699.322832
MonotonicityNot monotonic
2025-03-23T12:51:38.537261image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8667
 
12.4%
255 726
 
1.0%
228 612
 
0.9%
227 606
 
0.9%
225 588
 
0.8%
226 576
 
0.8%
221 576
 
0.8%
222 575
 
0.8%
231 574
 
0.8%
219 574
 
0.8%
Other values (246) 55926
79.9%
ValueCountFrequency (%)
0 8667
12.4%
1 146
 
0.2%
2 107
 
0.2%
3 96
 
0.1%
4 69
 
0.1%
ValueCountFrequency (%)
255 726
1.0%
254 123
 
0.2%
253 103
 
0.1%
252 95
 
0.1%
251 87
 
0.1%

576
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean146.2403
Minimum0
Maximum255
Zeros7502
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:38.677864image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q184
median173
Q3214
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)130

Descriptive statistics

Standard deviation80.12228498
Coefficient of variation (CV)0.5478810217
Kurtosis-0.9592984348
Mean146.2403
Median Absolute Deviation (MAD)51
Skewness-0.6238004
Sum10236821
Variance6419.58055
MonotonicityNot monotonic
2025-03-23T12:51:38.818450image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7502
 
10.7%
255 685
 
1.0%
217 635
 
0.9%
225 619
 
0.9%
222 618
 
0.9%
219 616
 
0.9%
224 607
 
0.9%
227 601
 
0.9%
228 599
 
0.9%
223 599
 
0.9%
Other values (246) 56919
81.3%
ValueCountFrequency (%)
0 7502
10.7%
1 141
 
0.2%
2 132
 
0.2%
3 93
 
0.1%
4 77
 
0.1%
ValueCountFrequency (%)
255 685
1.0%
254 131
 
0.2%
253 94
 
0.1%
252 96
 
0.1%
251 117
 
0.2%

577
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142.2897
Minimum0
Maximum255
Zeros8156
Zeros (%)11.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:38.959042image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q176
median168
Q3212
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)136

Descriptive statistics

Standard deviation81.22536635
Coefficient of variation (CV)0.570845018
Kurtosis-1.064142828
Mean142.2897
Median Absolute Deviation (MAD)54
Skewness-0.5594528555
Sum9960279
Variance6597.560139
MonotonicityNot monotonic
2025-03-23T12:51:39.115253image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8156
 
11.7%
255 703
 
1.0%
224 631
 
0.9%
220 611
 
0.9%
219 604
 
0.9%
221 601
 
0.9%
215 599
 
0.9%
229 596
 
0.9%
227 595
 
0.9%
218 592
 
0.8%
Other values (246) 56312
80.4%
ValueCountFrequency (%)
0 8156
11.7%
1 267
 
0.4%
2 182
 
0.3%
3 131
 
0.2%
4 110
 
0.2%
ValueCountFrequency (%)
255 703
1.0%
254 85
 
0.1%
253 96
 
0.1%
252 99
 
0.1%
251 97
 
0.1%

578
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean133.2155286
Minimum0
Maximum255
Zeros10381
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:39.255876image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q156
median155
Q3208
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)152

Descriptive statistics

Standard deviation84.47313952
Coefficient of variation (CV)0.6341088042
Kurtosis-1.288389109
Mean133.2155286
Median Absolute Deviation (MAD)65
Skewness-0.3717261847
Sum9325087
Variance7135.7113
MonotonicityNot monotonic
2025-03-23T12:51:39.396433image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10381
 
14.8%
255 1209
 
1.7%
222 545
 
0.8%
214 544
 
0.8%
224 542
 
0.8%
219 521
 
0.7%
210 520
 
0.7%
218 513
 
0.7%
215 510
 
0.7%
223 509
 
0.7%
Other values (246) 54206
77.4%
ValueCountFrequency (%)
0 10381
14.8%
1 314
 
0.4%
2 187
 
0.3%
3 141
 
0.2%
4 112
 
0.2%
ValueCountFrequency (%)
255 1209
1.7%
254 204
 
0.3%
253 154
 
0.2%
252 137
 
0.2%
251 104
 
0.1%

579
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.3416857
Minimum0
Maximum255
Zeros15416
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:39.537025image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112
median126
Q3201
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)189

Descriptive statistics

Standard deviation89.16546801
Coefficient of variation (CV)0.7664103152
Kurtosis-1.517873749
Mean116.3416857
Median Absolute Deviation (MAD)86
Skewness-0.06878658531
Sum8143918
Variance7950.480686
MonotonicityNot monotonic
2025-03-23T12:51:39.693245image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15416
 
22.0%
255 1297
 
1.9%
1 445
 
0.6%
222 444
 
0.6%
216 435
 
0.6%
215 419
 
0.6%
225 418
 
0.6%
211 416
 
0.6%
224 415
 
0.6%
218 412
 
0.6%
Other values (246) 49883
71.3%
ValueCountFrequency (%)
0 15416
22.0%
1 445
 
0.6%
2 293
 
0.4%
3 233
 
0.3%
4 161
 
0.2%
ValueCountFrequency (%)
255 1297
1.9%
254 201
 
0.3%
253 191
 
0.3%
252 147
 
0.2%
251 122
 
0.2%

580
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.30441429
Minimum0
Maximum255
Zeros21394
Zeros (%)30.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:39.833834image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median82
Q3185
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)185

Descriptive statistics

Standard deviation89.39754616
Coefficient of variation (CV)0.9282808771
Kurtosis-1.495827052
Mean96.30441429
Median Absolute Deviation (MAD)82
Skewness0.2693858681
Sum6741309
Variance7991.921259
MonotonicityNot monotonic
2025-03-23T12:51:39.974427image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21394
30.6%
255 742
 
1.1%
1 475
 
0.7%
2 425
 
0.6%
216 346
 
0.5%
212 338
 
0.5%
214 334
 
0.5%
221 334
 
0.5%
219 332
 
0.5%
220 330
 
0.5%
Other values (246) 44950
64.2%
ValueCountFrequency (%)
0 21394
30.6%
1 475
 
0.7%
2 425
 
0.6%
3 304
 
0.4%
4 240
 
0.3%
ValueCountFrequency (%)
255 742
1.1%
254 142
 
0.2%
253 100
 
0.1%
252 98
 
0.1%
251 98
 
0.1%

581
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.29507143
Minimum0
Maximum255
Zeros25378
Zeros (%)36.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:40.115019image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median68
Q3190
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)190

Descriptive statistics

Standard deviation93.66776667
Coefficient of variation (CV)1.003994801
Kurtosis-1.531841525
Mean93.29507143
Median Absolute Deviation (MAD)68
Skewness0.3401648609
Sum6530655
Variance8773.650514
MonotonicityNot monotonic
2025-03-23T12:51:40.255567image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25378
36.3%
255 1225
 
1.8%
1 651
 
0.9%
2 549
 
0.8%
3 358
 
0.5%
220 345
 
0.5%
217 341
 
0.5%
210 335
 
0.5%
222 334
 
0.5%
211 330
 
0.5%
Other values (246) 40154
57.4%
ValueCountFrequency (%)
0 25378
36.3%
1 651
 
0.9%
2 549
 
0.8%
3 358
 
0.5%
4 268
 
0.4%
ValueCountFrequency (%)
255 1225
1.8%
254 206
 
0.3%
253 132
 
0.2%
252 139
 
0.2%
251 127
 
0.2%

582
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.98935714
Minimum0
Maximum255
Zeros27315
Zeros (%)39.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:40.411781image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median56
Q3191
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)191

Descriptive statistics

Standard deviation95.05678535
Coefficient of variation (CV)1.044702241
Kurtosis-1.544640731
Mean90.98935714
Median Absolute Deviation (MAD)56
Skewness0.3731050355
Sum6369255
Variance9035.792441
MonotonicityNot monotonic
2025-03-23T12:51:40.552410image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27315
39.0%
255 1247
 
1.8%
1 911
 
1.3%
2 739
 
1.1%
3 599
 
0.9%
4 408
 
0.6%
222 365
 
0.5%
223 346
 
0.5%
219 336
 
0.5%
218 332
 
0.5%
Other values (246) 37402
53.4%
ValueCountFrequency (%)
0 27315
39.0%
1 911
 
1.3%
2 739
 
1.1%
3 599
 
0.9%
4 408
 
0.6%
ValueCountFrequency (%)
255 1247
1.8%
254 204
 
0.3%
253 162
 
0.2%
252 143
 
0.2%
251 126
 
0.2%

583
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80.26441429
Minimum0
Maximum255
Zeros29492
Zeros (%)42.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:40.708629image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median32
Q3171
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)171

Descriptive statistics

Standard deviation90.13219187
Coefficient of variation (CV)1.122940878
Kurtosis-1.332768088
Mean80.26441429
Median Absolute Deviation (MAD)32
Skewness0.549560274
Sum5618509
Variance8123.812011
MonotonicityNot monotonic
2025-03-23T12:51:40.864840image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29492
42.1%
1 1130
 
1.6%
2 798
 
1.1%
255 684
 
1.0%
3 557
 
0.8%
4 374
 
0.5%
214 303
 
0.4%
211 296
 
0.4%
210 283
 
0.4%
219 280
 
0.4%
Other values (246) 35803
51.1%
ValueCountFrequency (%)
0 29492
42.1%
1 1130
 
1.6%
2 798
 
1.1%
3 557
 
0.8%
4 374
 
0.5%
ValueCountFrequency (%)
255 684
1.0%
254 137
 
0.2%
253 88
 
0.1%
252 91
 
0.1%
251 82
 
0.1%

584
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.52404286
Minimum0
Maximum255
Zeros37982
Zeros (%)54.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:41.395965image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3126
95-th percentile221
Maximum255
Range255
Interquartile range (IQR)126

Descriptive statistics

Standard deviation82.37553271
Coefficient of variation (CV)1.361038173
Kurtosis-0.6669958321
Mean60.52404286
Median Absolute Deviation (MAD)0
Skewness0.9605660893
Sum4236683
Variance6785.728389
MonotonicityNot monotonic
2025-03-23T12:51:41.536553image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37982
54.3%
1 550
 
0.8%
2 272
 
0.4%
255 247
 
0.4%
200 239
 
0.3%
216 228
 
0.3%
3 220
 
0.3%
208 209
 
0.3%
213 206
 
0.3%
198 204
 
0.3%
Other values (246) 29643
42.3%
ValueCountFrequency (%)
0 37982
54.3%
1 550
 
0.8%
2 272
 
0.4%
3 220
 
0.3%
4 144
 
0.2%
ValueCountFrequency (%)
255 247
0.4%
254 47
 
0.1%
253 49
 
0.1%
252 37
 
0.1%
251 38
 
0.1%

585
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.76582857
Minimum0
Maximum255
Zeros46976
Zeros (%)67.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:41.692729image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q366
95-th percentile215
Maximum255
Range255
Interquartile range (IQR)66

Descriptive statistics

Standard deviation76.95029479
Coefficient of variation (CV)1.718951648
Kurtosis0.4262062996
Mean44.76582857
Median Absolute Deviation (MAD)0
Skewness1.428375685
Sum3133608
Variance5921.347869
MonotonicityNot monotonic
2025-03-23T12:51:41.833360image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46976
67.1%
1 321
 
0.5%
255 243
 
0.3%
202 195
 
0.3%
203 188
 
0.3%
193 184
 
0.3%
207 183
 
0.3%
204 182
 
0.3%
201 180
 
0.3%
200 178
 
0.3%
Other values (246) 21170
30.2%
ValueCountFrequency (%)
0 46976
67.1%
1 321
 
0.5%
2 155
 
0.2%
3 112
 
0.2%
4 94
 
0.1%
ValueCountFrequency (%)
255 243
0.3%
254 49
 
0.1%
253 25
 
< 0.1%
252 37
 
0.1%
251 33
 
< 0.1%

586
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.89115714
Minimum0
Maximum255
Zeros51617
Zeros (%)73.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:41.989534image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile218
Maximum255
Range255
Interquartile range (IQR)5

Descriptive statistics

Standard deviation70.92101316
Coefficient of variation (CV)2.092611145
Kurtosis2.410303027
Mean33.89115714
Median Absolute Deviation (MAD)0
Skewness1.972908887
Sum2372381
Variance5029.790107
MonotonicityNot monotonic
2025-03-23T12:51:42.130162image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 51617
73.7%
255 763
 
1.1%
1 366
 
0.5%
2 217
 
0.3%
3 155
 
0.2%
5 142
 
0.2%
4 126
 
0.2%
7 112
 
0.2%
200 110
 
0.2%
8 109
 
0.2%
Other values (246) 16283
 
23.3%
ValueCountFrequency (%)
0 51617
73.7%
1 366
 
0.5%
2 217
 
0.3%
3 155
 
0.2%
4 126
 
0.2%
ValueCountFrequency (%)
255 763
1.1%
254 89
 
0.1%
253 49
 
0.1%
252 56
 
0.1%
251 38
 
0.1%

587
Real number (ℝ)

Zeros 

Distinct223
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.306457143
Minimum0
Maximum233
Zeros59725
Zeros (%)85.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:42.270758image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile66
Maximum233
Range233
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27.28787394
Coefficient of variation (CV)3.285139919
Kurtosis17.56208029
Mean8.306457143
Median Absolute Deviation (MAD)0
Skewness4.040614494
Sum581452
Variance744.6280644
MonotonicityNot monotonic
2025-03-23T12:51:42.426972image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59725
85.3%
1 444
 
0.6%
2 307
 
0.4%
3 196
 
0.3%
4 176
 
0.3%
5 136
 
0.2%
14 121
 
0.2%
11 120
 
0.2%
6 120
 
0.2%
24 120
 
0.2%
Other values (213) 8535
 
12.2%
ValueCountFrequency (%)
0 59725
85.3%
1 444
 
0.6%
2 307
 
0.4%
3 196
 
0.3%
4 176
 
0.3%
ValueCountFrequency (%)
233 1
 
< 0.1%
227 1
 
< 0.1%
220 4
< 0.1%
219 2
< 0.1%
218 3
< 0.1%

588
Real number (ℝ)

Zeros 

Distinct227
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.867757143
Minimum0
Maximum255
Zeros62473
Zeros (%)89.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:42.567564image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile47
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation23.76311353
Coefficient of variation (CV)4.049777956
Kurtosis26.55537794
Mean5.867757143
Median Absolute Deviation (MAD)0
Skewness4.934019047
Sum410743
Variance564.6855645
MonotonicityNot monotonic
2025-03-23T12:51:42.723831image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62473
89.2%
1 701
 
1.0%
2 359
 
0.5%
3 249
 
0.4%
4 181
 
0.3%
5 125
 
0.2%
6 107
 
0.2%
7 86
 
0.1%
8 74
 
0.1%
24 71
 
0.1%
Other values (217) 5574
 
8.0%
ValueCountFrequency (%)
0 62473
89.2%
1 701
 
1.0%
2 359
 
0.5%
3 249
 
0.4%
4 181
 
0.3%
ValueCountFrequency (%)
255 1
< 0.1%
254 1
< 0.1%
249 1
< 0.1%
240 1
< 0.1%
239 1
< 0.1%

589
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.02735714
Minimum0
Maximum255
Zeros58638
Zeros (%)83.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:42.864365image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile175
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation53.87032666
Coefficient of variation (CV)2.831203843
Kurtosis7.164458412
Mean19.02735714
Median Absolute Deviation (MAD)0
Skewness2.88707542
Sum1331915
Variance2902.012095
MonotonicityNot monotonic
2025-03-23T12:51:43.020585image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 58638
83.8%
1 518
 
0.7%
2 291
 
0.4%
255 201
 
0.3%
3 171
 
0.2%
5 131
 
0.2%
4 122
 
0.2%
8 83
 
0.1%
7 81
 
0.1%
6 77
 
0.1%
Other values (246) 9687
 
13.8%
ValueCountFrequency (%)
0 58638
83.8%
1 518
 
0.7%
2 291
 
0.4%
3 171
 
0.2%
4 122
 
0.2%
ValueCountFrequency (%)
255 201
0.3%
254 20
 
< 0.1%
253 25
 
< 0.1%
252 18
 
< 0.1%
251 18
 
< 0.1%

590
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.91211429
Minimum0
Maximum255
Zeros55455
Zeros (%)79.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:43.161169image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile192
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation61.28195456
Coefficient of variation (CV)2.364992446
Kurtosis3.815397064
Mean25.91211429
Median Absolute Deviation (MAD)0
Skewness2.28348356
Sum1813848
Variance3755.477954
MonotonicityNot monotonic
2025-03-23T12:51:43.317386image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55455
79.2%
1 462
 
0.7%
2 251
 
0.4%
3 150
 
0.2%
255 134
 
0.2%
4 127
 
0.2%
5 110
 
0.2%
190 98
 
0.1%
189 96
 
0.1%
186 92
 
0.1%
Other values (246) 13025
 
18.6%
ValueCountFrequency (%)
0 55455
79.2%
1 462
 
0.7%
2 251
 
0.4%
3 150
 
0.2%
4 127
 
0.2%
ValueCountFrequency (%)
255 134
0.2%
254 21
 
< 0.1%
253 9
 
< 0.1%
252 26
 
< 0.1%
251 18
 
< 0.1%

591
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.56792857
Minimum0
Maximum255
Zeros48891
Zeros (%)69.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:43.457976image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q343
95-th percentile208
Maximum255
Range255
Interquartile range (IQR)43

Descriptive statistics

Standard deviation71.19641202
Coefficient of variation (CV)1.846000412
Kurtosis1.194419674
Mean38.56792857
Median Absolute Deviation (MAD)0
Skewness1.638134553
Sum2699755
Variance5068.929085
MonotonicityNot monotonic
2025-03-23T12:51:43.614188image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 48891
69.8%
1 500
 
0.7%
2 226
 
0.3%
255 218
 
0.3%
3 181
 
0.3%
204 133
 
0.2%
4 132
 
0.2%
186 123
 
0.2%
192 123
 
0.2%
220 120
 
0.2%
Other values (246) 19353
 
27.6%
ValueCountFrequency (%)
0 48891
69.8%
1 500
 
0.7%
2 226
 
0.3%
3 181
 
0.3%
4 132
 
0.2%
ValueCountFrequency (%)
255 218
0.3%
254 30
 
< 0.1%
253 24
 
< 0.1%
252 29
 
< 0.1%
251 28
 
< 0.1%

592
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.2013
Minimum0
Maximum255
Zeros37877
Zeros (%)54.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:43.754785image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3131
95-th percentile225
Maximum255
Range255
Interquartile range (IQR)131

Descriptive statistics

Standard deviation83.36947291
Coefficient of variation (CV)1.362217353
Kurtosis-0.6741817326
Mean61.2013
Median Absolute Deviation (MAD)0
Skewness0.9503401164
Sum4284091
Variance6950.469014
MonotonicityNot monotonic
2025-03-23T12:51:43.910992image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37877
54.1%
1 804
 
1.1%
255 507
 
0.7%
2 499
 
0.7%
3 377
 
0.5%
190 224
 
0.3%
4 213
 
0.3%
187 191
 
0.3%
204 186
 
0.3%
213 183
 
0.3%
Other values (246) 28939
41.3%
ValueCountFrequency (%)
0 37877
54.1%
1 804
 
1.1%
2 499
 
0.7%
3 377
 
0.5%
4 213
 
0.3%
ValueCountFrequency (%)
255 507
0.7%
254 84
 
0.1%
253 77
 
0.1%
252 59
 
0.1%
251 41
 
0.1%

593
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.71654286
Minimum0
Maximum255
Zeros31919
Zeros (%)45.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:44.051586image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q3172
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)172

Descriptive statistics

Standard deviation92.24170487
Coefficient of variation (CV)1.18689923
Kurtosis-1.286474566
Mean77.71654286
Median Absolute Deviation (MAD)5
Skewness0.6228356766
Sum5440158
Variance8508.532117
MonotonicityNot monotonic
2025-03-23T12:51:44.207764image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31919
45.6%
1 1070
 
1.5%
255 951
 
1.4%
2 881
 
1.3%
3 660
 
0.9%
4 456
 
0.7%
196 277
 
0.4%
223 275
 
0.4%
5 273
 
0.4%
213 269
 
0.4%
Other values (246) 32969
47.1%
ValueCountFrequency (%)
0 31919
45.6%
1 1070
 
1.5%
2 881
 
1.3%
3 660
 
0.9%
4 456
 
0.7%
ValueCountFrequency (%)
255 951
1.4%
254 165
 
0.2%
253 115
 
0.2%
252 127
 
0.2%
251 90
 
0.1%

594
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.33334286
Minimum0
Maximum255
Zeros30360
Zeros (%)43.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:44.363973image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median38
Q3185
95-th percentile242
Maximum255
Range255
Interquartile range (IQR)185

Descriptive statistics

Standard deviation94.77783245
Coefficient of variation (CV)1.09781261
Kurtosis-1.45213145
Mean86.33334286
Median Absolute Deviation (MAD)38
Skewness0.4714379413
Sum6043334
Variance8982.837523
MonotonicityNot monotonic
2025-03-23T12:51:44.520187image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30360
43.4%
255 1496
 
2.1%
1 555
 
0.8%
2 477
 
0.7%
3 344
 
0.5%
220 303
 
0.4%
219 292
 
0.4%
200 292
 
0.4%
223 291
 
0.4%
224 288
 
0.4%
Other values (246) 35302
50.4%
ValueCountFrequency (%)
0 30360
43.4%
1 555
 
0.8%
2 477
 
0.7%
3 344
 
0.5%
4 227
 
0.3%
ValueCountFrequency (%)
255 1496
2.1%
254 238
 
0.3%
253 164
 
0.2%
252 152
 
0.2%
251 130
 
0.2%

595
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.59275714
Minimum0
Maximum255
Zeros26011
Zeros (%)37.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:44.676400image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median64
Q3177
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)177

Descriptive statistics

Standard deviation90.04311122
Coefficient of variation (CV)1.016371023
Kurtosis-1.413796276
Mean88.59275714
Median Absolute Deviation (MAD)64
Skewness0.4120406667
Sum6201493
Variance8107.761878
MonotonicityNot monotonic
2025-03-23T12:51:44.832612image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26011
37.2%
255 897
 
1.3%
1 379
 
0.5%
2 318
 
0.5%
219 292
 
0.4%
205 287
 
0.4%
207 283
 
0.4%
225 282
 
0.4%
216 281
 
0.4%
224 281
 
0.4%
Other values (246) 40689
58.1%
ValueCountFrequency (%)
0 26011
37.2%
1 379
 
0.5%
2 318
 
0.5%
3 261
 
0.4%
4 175
 
0.2%
ValueCountFrequency (%)
255 897
1.3%
254 121
 
0.2%
253 115
 
0.2%
252 104
 
0.1%
251 98
 
0.1%

596
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.5612143
Minimum0
Maximum255
Zeros20241
Zeros (%)28.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:44.973205image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median113
Q3196
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)196

Descriptive statistics

Standard deviation91.00124104
Coefficient of variation (CV)0.8382481869
Kurtosis-1.551504719
Mean108.5612143
Median Absolute Deviation (MAD)97
Skewness0.05188842727
Sum7599285
Variance8281.22587
MonotonicityNot monotonic
2025-03-23T12:51:45.129459image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20241
28.9%
255 1362
 
1.9%
221 401
 
0.6%
214 385
 
0.5%
224 380
 
0.5%
215 376
 
0.5%
216 367
 
0.5%
220 351
 
0.5%
209 350
 
0.5%
218 349
 
0.5%
Other values (246) 45438
64.9%
ValueCountFrequency (%)
0 20241
28.9%
1 189
 
0.3%
2 177
 
0.3%
3 153
 
0.2%
4 98
 
0.1%
ValueCountFrequency (%)
255 1362
1.9%
254 191
 
0.3%
253 171
 
0.2%
252 123
 
0.2%
251 102
 
0.1%

597
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.0734
Minimum0
Maximum255
Zeros15014
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:45.270051image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q131
median148
Q3208
95-th percentile242
Maximum255
Range255
Interquartile range (IQR)177

Descriptive statistics

Standard deviation88.76405353
Coefficient of variation (CV)0.6985258404
Kurtosis-1.424774814
Mean127.0734
Median Absolute Deviation (MAD)72
Skewness-0.2768921573
Sum8895138
Variance7879.057199
MonotonicityNot monotonic
2025-03-23T12:51:45.426224image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15014
 
21.4%
255 1408
 
2.0%
208 499
 
0.7%
218 498
 
0.7%
221 498
 
0.7%
219 495
 
0.7%
222 490
 
0.7%
216 480
 
0.7%
226 475
 
0.7%
224 468
 
0.7%
Other values (246) 49675
71.0%
ValueCountFrequency (%)
0 15014
21.4%
1 140
 
0.2%
2 113
 
0.2%
3 123
 
0.2%
4 69
 
0.1%
ValueCountFrequency (%)
255 1408
2.0%
254 222
 
0.3%
253 184
 
0.3%
252 163
 
0.2%
251 128
 
0.2%

598
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean138.4706286
Minimum0
Maximum255
Zeros11166
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:45.566816image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q168
median164
Q3211
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)143

Descriptive statistics

Standard deviation83.65843398
Coefficient of variation (CV)0.6041601374
Kurtosis-1.151324045
Mean138.4706286
Median Absolute Deviation (MAD)57
Skewness-0.5144369576
Sum9692944
Variance6998.733576
MonotonicityNot monotonic
2025-03-23T12:51:45.723028image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11166
 
16.0%
255 739
 
1.1%
220 618
 
0.9%
223 578
 
0.8%
221 573
 
0.8%
227 573
 
0.8%
222 564
 
0.8%
229 561
 
0.8%
218 561
 
0.8%
225 553
 
0.8%
Other values (246) 53514
76.4%
ValueCountFrequency (%)
0 11166
16.0%
1 106
 
0.2%
2 105
 
0.1%
3 63
 
0.1%
4 55
 
0.1%
ValueCountFrequency (%)
255 739
1.1%
254 128
 
0.2%
253 104
 
0.1%
252 117
 
0.2%
251 94
 
0.1%

599
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142.8958286
Minimum0
Maximum255
Zeros10597
Zeros (%)15.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:45.879278image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q177
median171
Q3214
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)137

Descriptive statistics

Standard deviation83.29236683
Coefficient of variation (CV)0.5828887215
Kurtosis-1.057178563
Mean142.8958286
Median Absolute Deviation (MAD)53
Skewness-0.6012513422
Sum10002708
Variance6937.618371
MonotonicityNot monotonic
2025-03-23T12:51:46.019874image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10597
 
15.1%
229 647
 
0.9%
219 645
 
0.9%
223 639
 
0.9%
228 638
 
0.9%
222 635
 
0.9%
226 634
 
0.9%
227 629
 
0.9%
224 623
 
0.9%
230 622
 
0.9%
Other values (246) 53691
76.7%
ValueCountFrequency (%)
0 10597
15.1%
1 136
 
0.2%
2 94
 
0.1%
3 75
 
0.1%
4 58
 
0.1%
ValueCountFrequency (%)
255 536
0.8%
254 124
 
0.2%
253 109
 
0.2%
252 89
 
0.1%
251 93
 
0.1%

600
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.4569429
Minimum0
Maximum255
Zeros10867
Zeros (%)15.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:46.176084image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q172
median169
Q3214
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)142

Descriptive statistics

Standard deviation84.20002289
Coefficient of variation (CV)0.5952342896
Kurtosis-1.123616479
Mean141.4569429
Median Absolute Deviation (MAD)56
Skewness-0.553509235
Sum9901986
Variance7089.643855
MonotonicityNot monotonic
2025-03-23T12:51:46.332261image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10867
 
15.5%
255 715
 
1.0%
227 652
 
0.9%
222 642
 
0.9%
232 629
 
0.9%
230 625
 
0.9%
220 622
 
0.9%
226 619
 
0.9%
228 615
 
0.9%
219 608
 
0.9%
Other values (246) 53406
76.3%
ValueCountFrequency (%)
0 10867
15.5%
1 111
 
0.2%
2 90
 
0.1%
3 74
 
0.1%
4 67
 
0.1%
ValueCountFrequency (%)
255 715
1.0%
254 148
 
0.2%
253 108
 
0.2%
252 118
 
0.2%
251 118
 
0.2%

601
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130.9852714
Minimum0
Maximum255
Zeros13566
Zeros (%)19.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:46.472852image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q144
median156
Q3210
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)166

Descriptive statistics

Standard deviation87.26222735
Coefficient of variation (CV)0.6661987748
Kurtosis-1.372774617
Mean130.9852714
Median Absolute Deviation (MAD)66
Skewness-0.3707861017
Sum9168969
Variance7614.696322
MonotonicityNot monotonic
2025-03-23T12:51:46.629101image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13566
 
19.4%
255 593
 
0.8%
219 580
 
0.8%
229 578
 
0.8%
220 572
 
0.8%
224 568
 
0.8%
232 555
 
0.8%
223 551
 
0.8%
231 550
 
0.8%
222 547
 
0.8%
Other values (246) 51340
73.3%
ValueCountFrequency (%)
0 13566
19.4%
1 156
 
0.2%
2 96
 
0.1%
3 117
 
0.2%
4 86
 
0.1%
ValueCountFrequency (%)
255 593
0.8%
254 107
 
0.2%
253 86
 
0.1%
252 82
 
0.1%
251 78
 
0.1%

602
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.7974143
Minimum0
Maximum255
Zeros16349
Zeros (%)23.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:46.779079image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115
median148
Q3208
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)193

Descriptive statistics

Standard deviation89.47302958
Coefficient of variation (CV)0.7169461811
Kurtosis-1.490799425
Mean124.7974143
Median Absolute Deviation (MAD)72
Skewness-0.2784160036
Sum8735819
Variance8005.423022
MonotonicityNot monotonic
2025-03-23T12:51:47.373159image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16349
 
23.4%
219 577
 
0.8%
230 566
 
0.8%
223 544
 
0.8%
228 542
 
0.8%
224 540
 
0.8%
221 538
 
0.8%
222 534
 
0.8%
226 524
 
0.7%
229 519
 
0.7%
Other values (246) 48767
69.7%
ValueCountFrequency (%)
0 16349
23.4%
1 144
 
0.2%
2 123
 
0.2%
3 122
 
0.2%
4 78
 
0.1%
ValueCountFrequency (%)
255 447
0.6%
254 102
 
0.1%
253 62
 
0.1%
252 73
 
0.1%
251 78
 
0.1%

603
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean132.3527143
Minimum0
Maximum255
Zeros13041
Zeros (%)18.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:47.529410image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q148
median157
Q3210
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)162

Descriptive statistics

Standard deviation86.88747575
Coefficient of variation (CV)0.6564842755
Kurtosis-1.344467417
Mean132.3527143
Median Absolute Deviation (MAD)65
Skewness-0.3875822228
Sum9264690
Variance7549.433442
MonotonicityNot monotonic
2025-03-23T12:51:47.685626image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13041
 
18.6%
255 797
 
1.1%
225 589
 
0.8%
230 571
 
0.8%
226 569
 
0.8%
223 565
 
0.8%
220 555
 
0.8%
219 554
 
0.8%
222 547
 
0.8%
228 545
 
0.8%
Other values (246) 51667
73.8%
ValueCountFrequency (%)
0 13041
18.6%
1 156
 
0.2%
2 94
 
0.1%
3 107
 
0.2%
4 95
 
0.1%
ValueCountFrequency (%)
255 797
1.1%
254 120
 
0.2%
253 113
 
0.2%
252 105
 
0.1%
251 93
 
0.1%

604
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137.6698
Minimum0
Maximum255
Zeros12150
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:47.826214image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q159
median166
Q3213
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)154

Descriptive statistics

Standard deviation86.12484586
Coefficient of variation (CV)0.6255899686
Kurtosis-1.239359293
Mean137.6698
Median Absolute Deviation (MAD)58
Skewness-0.4908272027
Sum9636886
Variance7417.489075
MonotonicityNot monotonic
2025-03-23T12:51:47.982432image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12150
 
17.4%
255 778
 
1.1%
230 627
 
0.9%
226 590
 
0.8%
224 588
 
0.8%
227 584
 
0.8%
221 582
 
0.8%
228 581
 
0.8%
216 581
 
0.8%
225 580
 
0.8%
Other values (246) 52359
74.8%
ValueCountFrequency (%)
0 12150
17.4%
1 162
 
0.2%
2 121
 
0.2%
3 95
 
0.1%
4 67
 
0.1%
ValueCountFrequency (%)
255 778
1.1%
254 115
 
0.2%
253 112
 
0.2%
252 110
 
0.2%
251 124
 
0.2%

605
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean132.9130143
Minimum0
Maximum255
Zeros13066
Zeros (%)18.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:48.123020image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q148
median159
Q3210
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)162

Descriptive statistics

Standard deviation87.00038066
Coefficient of variation (CV)0.6545663051
Kurtosis-1.333890449
Mean132.9130143
Median Absolute Deviation (MAD)63
Skewness-0.4115344741
Sum9303911
Variance7569.066234
MonotonicityNot monotonic
2025-03-23T12:51:48.279232image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13066
 
18.7%
255 702
 
1.0%
222 576
 
0.8%
227 566
 
0.8%
218 566
 
0.8%
221 564
 
0.8%
229 559
 
0.8%
223 558
 
0.8%
220 554
 
0.8%
225 553
 
0.8%
Other values (246) 51736
73.9%
ValueCountFrequency (%)
0 13066
18.7%
1 281
 
0.4%
2 175
 
0.2%
3 132
 
0.2%
4 100
 
0.1%
ValueCountFrequency (%)
255 702
1.0%
254 119
 
0.2%
253 85
 
0.1%
252 95
 
0.1%
251 102
 
0.1%

606
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122.9708143
Minimum0
Maximum255
Zeros15466
Zeros (%)22.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:48.435450image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120
median142
Q3205
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)185

Descriptive statistics

Standard deviation89.02343372
Coefficient of variation (CV)0.7239395318
Kurtosis-1.483261171
Mean122.9708143
Median Absolute Deviation (MAD)76
Skewness-0.2184317014
Sum8607957
Variance7925.171751
MonotonicityNot monotonic
2025-03-23T12:51:48.576038image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15466
 
22.1%
255 1045
 
1.5%
220 518
 
0.7%
223 484
 
0.7%
224 484
 
0.7%
221 477
 
0.7%
219 475
 
0.7%
215 474
 
0.7%
214 471
 
0.7%
227 468
 
0.7%
Other values (246) 49638
70.9%
ValueCountFrequency (%)
0 15466
22.1%
1 370
 
0.5%
2 236
 
0.3%
3 154
 
0.2%
4 135
 
0.2%
ValueCountFrequency (%)
255 1045
1.5%
254 194
 
0.3%
253 150
 
0.2%
252 123
 
0.2%
251 114
 
0.2%

607
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.5711429
Minimum0
Maximum255
Zeros20162
Zeros (%)28.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:48.732215image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median110
Q3197
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)197

Descriptive statistics

Standard deviation91.60667127
Coefficient of variation (CV)0.8515915034
Kurtosis-1.572563144
Mean107.5711429
Median Absolute Deviation (MAD)101
Skewness0.0714980181
Sum7529980
Variance8391.782221
MonotonicityNot monotonic
2025-03-23T12:51:48.872844image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20162
28.8%
255 1324
 
1.9%
1 424
 
0.6%
211 408
 
0.6%
221 401
 
0.6%
222 398
 
0.6%
209 391
 
0.6%
223 391
 
0.6%
215 389
 
0.6%
220 379
 
0.5%
Other values (246) 45333
64.8%
ValueCountFrequency (%)
0 20162
28.8%
1 424
 
0.6%
2 330
 
0.5%
3 219
 
0.3%
4 141
 
0.2%
ValueCountFrequency (%)
255 1324
1.9%
254 217
 
0.3%
253 168
 
0.2%
252 141
 
0.2%
251 108
 
0.2%

608
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.96078571
Minimum0
Maximum255
Zeros25875
Zeros (%)37.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:49.013439image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median62
Q3178
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)178

Descriptive statistics

Standard deviation89.83195273
Coefficient of variation (CV)1.021272741
Kurtosis-1.420146882
Mean87.96078571
Median Absolute Deviation (MAD)62
Skewness0.4172744705
Sum6157255
Variance8069.779731
MonotonicityNot monotonic
2025-03-23T12:51:49.169611image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25875
37.0%
255 813
 
1.2%
1 500
 
0.7%
2 374
 
0.5%
216 315
 
0.4%
219 312
 
0.4%
220 304
 
0.4%
225 303
 
0.4%
209 294
 
0.4%
207 294
 
0.4%
Other values (246) 40616
58.0%
ValueCountFrequency (%)
0 25875
37.0%
1 500
 
0.7%
2 374
 
0.5%
3 264
 
0.4%
4 209
 
0.3%
ValueCountFrequency (%)
255 813
1.2%
254 120
 
0.2%
253 100
 
0.1%
252 87
 
0.1%
251 86
 
0.1%

609
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.63435714
Minimum0
Maximum255
Zeros29813
Zeros (%)42.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:49.325860image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median38
Q3182
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)182

Descriptive statistics

Standard deviation93.31633775
Coefficient of variation (CV)1.102582224
Kurtosis-1.415735042
Mean84.63435714
Median Absolute Deviation (MAD)38
Skewness0.4986403902
Sum5924405
Variance8707.93889
MonotonicityNot monotonic
2025-03-23T12:51:49.482088image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29813
42.6%
255 1166
 
1.7%
1 600
 
0.9%
2 462
 
0.7%
3 350
 
0.5%
220 322
 
0.5%
219 304
 
0.4%
210 299
 
0.4%
213 299
 
0.4%
205 292
 
0.4%
Other values (246) 36093
51.6%
ValueCountFrequency (%)
0 29813
42.6%
1 600
 
0.9%
2 462
 
0.7%
3 350
 
0.5%
4 223
 
0.3%
ValueCountFrequency (%)
255 1166
1.7%
254 145
 
0.2%
253 154
 
0.2%
252 118
 
0.2%
251 123
 
0.2%

610
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.89958571
Minimum0
Maximum255
Zeros31470
Zeros (%)45.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:49.622666image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median15
Q3186
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)186

Descriptive statistics

Standard deviation95.46902082
Coefficient of variation (CV)1.137896213
Kurtosis-1.446822731
Mean83.89958571
Median Absolute Deviation (MAD)15
Skewness0.5114125564
Sum5872971
Variance9114.333936
MonotonicityNot monotonic
2025-03-23T12:51:49.778878image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31470
45.0%
255 1301
 
1.9%
1 832
 
1.2%
2 696
 
1.0%
3 557
 
0.8%
4 360
 
0.5%
215 316
 
0.5%
223 313
 
0.4%
224 308
 
0.4%
221 303
 
0.4%
Other values (246) 33544
47.9%
ValueCountFrequency (%)
0 31470
45.0%
1 832
 
1.2%
2 696
 
1.0%
3 557
 
0.8%
4 360
 
0.5%
ValueCountFrequency (%)
255 1301
1.9%
254 231
 
0.3%
253 148
 
0.2%
252 144
 
0.2%
251 117
 
0.2%

611
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.42361429
Minimum0
Maximum255
Zeros33419
Zeros (%)47.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:49.935054image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q3161
95-th percentile231
Maximum255
Range255
Interquartile range (IQR)161

Descriptive statistics

Standard deviation89.66489482
Coefficient of variation (CV)1.221199687
Kurtosis-1.180047979
Mean73.42361429
Median Absolute Deviation (MAD)2
Skewness0.6880498724
Sum5139653
Variance8039.793362
MonotonicityNot monotonic
2025-03-23T12:51:50.075684image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33419
47.7%
1 1149
 
1.6%
2 769
 
1.1%
255 669
 
1.0%
3 585
 
0.8%
4 372
 
0.5%
202 283
 
0.4%
217 269
 
0.4%
220 250
 
0.4%
210 249
 
0.4%
Other values (246) 31986
45.7%
ValueCountFrequency (%)
0 33419
47.7%
1 1149
 
1.6%
2 769
 
1.1%
3 585
 
0.8%
4 372
 
0.5%
ValueCountFrequency (%)
255 669
1.0%
254 138
 
0.2%
253 70
 
0.1%
252 77
 
0.1%
251 78
 
0.1%

612
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.147
Minimum0
Maximum255
Zeros41954
Zeros (%)59.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:50.231903image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3110
95-th percentile219
Maximum255
Range255
Interquartile range (IQR)110

Descriptive statistics

Standard deviation80.55390425
Coefficient of variation (CV)1.487689147
Kurtosis-0.3221628127
Mean54.147
Median Absolute Deviation (MAD)0
Skewness1.126189357
Sum3790290
Variance6488.93149
MonotonicityNot monotonic
2025-03-23T12:51:50.372489image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 41954
59.9%
1 493
 
0.7%
2 303
 
0.4%
255 276
 
0.4%
205 195
 
0.3%
214 192
 
0.3%
201 192
 
0.3%
202 190
 
0.3%
207 189
 
0.3%
198 186
 
0.3%
Other values (246) 25830
36.9%
ValueCountFrequency (%)
0 41954
59.9%
1 493
 
0.7%
2 303
 
0.4%
3 184
 
0.3%
4 163
 
0.2%
ValueCountFrequency (%)
255 276
0.4%
254 48
 
0.1%
253 41
 
0.1%
252 32
 
< 0.1%
251 42
 
0.1%

613
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.4101
Minimum0
Maximum255
Zeros50927
Zeros (%)72.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:50.528703image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q323
95-th percentile212
Maximum255
Range255
Interquartile range (IQR)23

Descriptive statistics

Standard deviation73.51453215
Coefficient of variation (CV)1.913937536
Kurtosis1.161035857
Mean38.4101
Median Absolute Deviation (MAD)0
Skewness1.662818794
Sum2688707
Variance5404.386438
MonotonicityNot monotonic
2025-03-23T12:51:50.669257image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 50927
72.8%
1 296
 
0.4%
255 232
 
0.3%
200 169
 
0.2%
205 169
 
0.2%
195 160
 
0.2%
207 158
 
0.2%
192 155
 
0.2%
201 154
 
0.2%
211 153
 
0.2%
Other values (246) 17427
 
24.9%
ValueCountFrequency (%)
0 50927
72.8%
1 296
 
0.4%
2 133
 
0.2%
3 102
 
0.1%
4 70
 
0.1%
ValueCountFrequency (%)
255 232
0.3%
254 35
 
0.1%
253 32
 
< 0.1%
252 29
 
< 0.1%
251 27
 
< 0.1%

614
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.10608571
Minimum0
Maximum255
Zeros55314
Zeros (%)79.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:50.825506image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile212
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation66.32186483
Coefficient of variation (CV)2.359697665
Kurtosis3.804010737
Mean28.10608571
Median Absolute Deviation (MAD)0
Skewness2.288125472
Sum1967426
Variance4398.589754
MonotonicityNot monotonic
2025-03-23T12:51:50.966107image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55314
79.0%
255 719
 
1.0%
1 331
 
0.5%
2 173
 
0.2%
3 135
 
0.2%
198 99
 
0.1%
4 92
 
0.1%
5 89
 
0.1%
223 87
 
0.1%
217 85
 
0.1%
Other values (246) 12876
 
18.4%
ValueCountFrequency (%)
0 55314
79.0%
1 331
 
0.5%
2 173
 
0.2%
3 135
 
0.2%
4 92
 
0.1%
ValueCountFrequency (%)
255 719
1.0%
254 63
 
0.1%
253 43
 
0.1%
252 47
 
0.1%
251 54
 
0.1%

615
Real number (ℝ)

Zeros 

Distinct227
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.973885714
Minimum0
Maximum252
Zeros61876
Zeros (%)88.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:51.106693image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile58
Maximum252
Range252
Interquartile range (IQR)0

Descriptive statistics

Standard deviation25.7406518
Coefficient of variation (CV)3.691005682
Kurtosis21.85126107
Mean6.973885714
Median Absolute Deviation (MAD)0
Skewness4.497382471
Sum488172
Variance662.5811549
MonotonicityNot monotonic
2025-03-23T12:51:51.262910image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 61876
88.4%
1 378
 
0.5%
2 269
 
0.4%
3 138
 
0.2%
4 127
 
0.2%
5 101
 
0.1%
13 92
 
0.1%
39 88
 
0.1%
35 85
 
0.1%
33 83
 
0.1%
Other values (217) 6763
 
9.7%
ValueCountFrequency (%)
0 61876
88.4%
1 378
 
0.5%
2 269
 
0.4%
3 138
 
0.2%
4 127
 
0.2%
ValueCountFrequency (%)
252 1
< 0.1%
236 1
< 0.1%
231 2
< 0.1%
229 2
< 0.1%
226 1
< 0.1%

616
Real number (ℝ)

Zeros 

Distinct227
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.730614286
Minimum0
Maximum255
Zeros63932
Zeros (%)91.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:51.403496image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile30
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21.61705692
Coefficient of variation (CV)4.569608853
Kurtosis34.37448
Mean4.730614286
Median Absolute Deviation (MAD)0
Skewness5.586003387
Sum331143
Variance467.2971499
MonotonicityNot monotonic
2025-03-23T12:51:51.559712image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63932
91.3%
1 637
 
0.9%
2 349
 
0.5%
3 192
 
0.3%
4 108
 
0.2%
5 81
 
0.1%
6 68
 
0.1%
7 67
 
0.1%
9 65
 
0.1%
10 63
 
0.1%
Other values (217) 4438
 
6.3%
ValueCountFrequency (%)
0 63932
91.3%
1 637
 
0.9%
2 349
 
0.5%
3 192
 
0.3%
4 108
 
0.2%
ValueCountFrequency (%)
255 1
< 0.1%
248 1
< 0.1%
246 1
< 0.1%
245 1
< 0.1%
243 1
< 0.1%

617
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.162
Minimum0
Maximum255
Zeros60693
Zeros (%)86.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:51.715921image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile154
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation48.63547681
Coefficient of variation (CV)3.207721726
Kurtosis10.25553315
Mean15.162
Median Absolute Deviation (MAD)0
Skewness3.353292305
Sum1061340
Variance2365.409605
MonotonicityNot monotonic
2025-03-23T12:51:51.856517image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60693
86.7%
1 514
 
0.7%
2 297
 
0.4%
3 154
 
0.2%
255 152
 
0.2%
4 123
 
0.2%
5 88
 
0.1%
6 77
 
0.1%
11 59
 
0.1%
7 57
 
0.1%
Other values (246) 7786
 
11.1%
ValueCountFrequency (%)
0 60693
86.7%
1 514
 
0.7%
2 297
 
0.4%
3 154
 
0.2%
4 123
 
0.2%
ValueCountFrequency (%)
255 152
0.2%
254 19
 
< 0.1%
253 14
 
< 0.1%
252 14
 
< 0.1%
251 16
 
< 0.1%

618
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.52141429
Minimum0
Maximum255
Zeros57747
Zeros (%)82.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:52.012730image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile183.05
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation56.68430861
Coefficient of variation (CV)2.633856115
Kurtosis5.5788504
Mean21.52141429
Median Absolute Deviation (MAD)0
Skewness2.62245003
Sum1506499
Variance3213.110843
MonotonicityNot monotonic
2025-03-23T12:51:52.153320image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 57747
82.5%
1 421
 
0.6%
2 235
 
0.3%
3 174
 
0.2%
255 129
 
0.2%
4 113
 
0.2%
5 85
 
0.1%
202 81
 
0.1%
187 80
 
0.1%
189 80
 
0.1%
Other values (246) 10855
 
15.5%
ValueCountFrequency (%)
0 57747
82.5%
1 421
 
0.6%
2 235
 
0.3%
3 174
 
0.2%
4 113
 
0.2%
ValueCountFrequency (%)
255 129
0.2%
254 16
 
< 0.1%
253 17
 
< 0.1%
252 14
 
< 0.1%
251 14
 
< 0.1%

619
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.88302857
Minimum0
Maximum255
Zeros51274
Zeros (%)73.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:52.309533image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile203
Maximum255
Range255
Interquartile range (IQR)6

Descriptive statistics

Standard deviation67.82467423
Coefficient of variation (CV)2.001729984
Kurtosis1.969239403
Mean33.88302857
Median Absolute Deviation (MAD)0
Skewness1.846443426
Sum2371812
Variance4600.186435
MonotonicityNot monotonic
2025-03-23T12:51:52.450129image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 51274
73.2%
1 489
 
0.7%
2 271
 
0.4%
255 198
 
0.3%
3 175
 
0.2%
4 122
 
0.2%
197 117
 
0.2%
200 107
 
0.2%
198 107
 
0.2%
5 107
 
0.2%
Other values (246) 17033
 
24.3%
ValueCountFrequency (%)
0 51274
73.2%
1 489
 
0.7%
2 271
 
0.4%
3 175
 
0.2%
4 122
 
0.2%
ValueCountFrequency (%)
255 198
0.3%
254 35
 
0.1%
253 30
 
< 0.1%
252 26
 
< 0.1%
251 21
 
< 0.1%

620
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.98127143
Minimum0
Maximum255
Zeros40277
Zeros (%)57.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:52.606338image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3117
95-th percentile223
Maximum255
Range255
Interquartile range (IQR)117

Descriptive statistics

Standard deviation81.46695345
Coefficient of variation (CV)1.455253719
Kurtosis-0.3931153448
Mean55.98127143
Median Absolute Deviation (MAD)0
Skewness1.085475663
Sum3918689
Variance6636.864504
MonotonicityNot monotonic
2025-03-23T12:51:52.746934image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40277
57.5%
1 841
 
1.2%
2 497
 
0.7%
255 434
 
0.6%
3 395
 
0.6%
4 225
 
0.3%
200 189
 
0.3%
216 177
 
0.3%
192 175
 
0.2%
196 173
 
0.2%
Other values (246) 26617
38.0%
ValueCountFrequency (%)
0 40277
57.5%
1 841
 
1.2%
2 497
 
0.7%
3 395
 
0.6%
4 225
 
0.3%
ValueCountFrequency (%)
255 434
0.6%
254 78
 
0.1%
253 43
 
0.1%
252 51
 
0.1%
251 58
 
0.1%

621
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.86914286
Minimum0
Maximum255
Zeros34646
Zeros (%)49.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:53.293674image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q3164
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)164

Descriptive statistics

Standard deviation91.18348956
Coefficient of variation (CV)1.268743245
Kurtosis-1.132777615
Mean71.86914286
Median Absolute Deviation (MAD)1
Skewness0.7441737577
Sum5030840
Variance8314.428768
MonotonicityNot monotonic
2025-03-23T12:51:53.449849image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34646
49.5%
1 1071
 
1.5%
2 834
 
1.2%
255 811
 
1.2%
3 668
 
1.0%
4 441
 
0.6%
5 270
 
0.4%
216 264
 
0.4%
207 259
 
0.4%
220 256
 
0.4%
Other values (246) 30480
43.5%
ValueCountFrequency (%)
0 34646
49.5%
1 1071
 
1.5%
2 834
 
1.2%
3 668
 
1.0%
4 441
 
0.6%
ValueCountFrequency (%)
255 811
1.2%
254 131
 
0.2%
253 107
 
0.2%
252 96
 
0.1%
251 86
 
0.1%

622
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.93938571
Minimum0
Maximum255
Zeros32834
Zeros (%)46.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:53.590479image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median9.5
Q3176
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)176

Descriptive statistics

Standard deviation93.78747585
Coefficient of variation (CV)1.173232381
Kurtosis-1.320508889
Mean79.93938571
Median Absolute Deviation (MAD)9.5
Skewness0.5987888334
Sum5595757
Variance8796.090627
MonotonicityNot monotonic
2025-03-23T12:51:53.746698image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32834
46.9%
255 1379
 
2.0%
1 550
 
0.8%
2 446
 
0.6%
3 352
 
0.5%
222 280
 
0.4%
210 277
 
0.4%
215 271
 
0.4%
225 265
 
0.4%
223 263
 
0.4%
Other values (246) 33083
47.3%
ValueCountFrequency (%)
0 32834
46.9%
1 550
 
0.8%
2 446
 
0.6%
3 352
 
0.5%
4 241
 
0.3%
ValueCountFrequency (%)
255 1379
2.0%
254 182
 
0.3%
253 150
 
0.2%
252 117
 
0.2%
251 129
 
0.2%

623
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.47294286
Minimum0
Maximum255
Zeros28799
Zeros (%)41.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:53.902906image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median44
Q3168
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)168

Descriptive statistics

Standard deviation88.98308063
Coefficient of variation (CV)1.092179532
Kurtosis-1.289590604
Mean81.47294286
Median Absolute Deviation (MAD)44
Skewness0.5463362351
Sum5703106
Variance7917.988639
MonotonicityNot monotonic
2025-03-23T12:51:54.059119image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28799
41.1%
255 724
 
1.0%
1 358
 
0.5%
2 310
 
0.4%
218 283
 
0.4%
222 280
 
0.4%
223 272
 
0.4%
202 270
 
0.4%
220 268
 
0.4%
225 261
 
0.4%
Other values (246) 38175
54.5%
ValueCountFrequency (%)
0 28799
41.1%
1 358
 
0.5%
2 310
 
0.4%
3 257
 
0.4%
4 192
 
0.3%
ValueCountFrequency (%)
255 724
1.0%
254 100
 
0.1%
253 97
 
0.1%
252 83
 
0.1%
251 68
 
0.1%

624
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.7452714
Minimum0
Maximum255
Zeros22886
Zeros (%)32.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:54.199674image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median100
Q3193
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)193

Descriptive statistics

Standard deviation92.07159498
Coefficient of variation (CV)0.8961151564
Kurtosis-1.561450485
Mean102.7452714
Median Absolute Deviation (MAD)100
Skewness0.1537840387
Sum7192169
Variance8477.178602
MonotonicityNot monotonic
2025-03-23T12:51:54.355927image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22886
32.7%
255 1308
 
1.9%
222 361
 
0.5%
217 356
 
0.5%
221 346
 
0.5%
223 343
 
0.5%
213 342
 
0.5%
219 340
 
0.5%
224 340
 
0.5%
227 336
 
0.5%
Other values (246) 43042
61.5%
ValueCountFrequency (%)
0 22886
32.7%
1 194
 
0.3%
2 179
 
0.3%
3 172
 
0.2%
4 123
 
0.2%
ValueCountFrequency (%)
255 1308
1.9%
254 171
 
0.2%
253 183
 
0.3%
252 124
 
0.2%
251 119
 
0.2%

625
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.1558143
Minimum0
Maximum255
Zeros17822
Zeros (%)25.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:54.496517image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median137
Q3206
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)206

Descriptive statistics

Standard deviation91.02011836
Coefficient of variation (CV)0.7575173861
Kurtosis-1.5297403
Mean120.1558143
Median Absolute Deviation (MAD)81
Skewness-0.1586382721
Sum8410907
Variance8284.661946
MonotonicityNot monotonic
2025-03-23T12:51:54.652735image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17822
 
25.5%
255 1266
 
1.8%
227 464
 
0.7%
226 463
 
0.7%
218 458
 
0.7%
217 457
 
0.7%
216 455
 
0.7%
225 453
 
0.6%
213 452
 
0.6%
220 452
 
0.6%
Other values (246) 47258
67.5%
ValueCountFrequency (%)
0 17822
25.5%
1 147
 
0.2%
2 148
 
0.2%
3 107
 
0.2%
4 100
 
0.1%
ValueCountFrequency (%)
255 1266
1.8%
254 211
 
0.3%
253 185
 
0.3%
252 144
 
0.2%
251 124
 
0.2%

626
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean131.4274714
Minimum0
Maximum255
Zeros13916
Zeros (%)19.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:54.808904image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q146
median156
Q3209
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)163

Descriptive statistics

Standard deviation87.01642469
Coefficient of variation (CV)0.6620870336
Kurtosis-1.345697846
Mean131.4274714
Median Absolute Deviation (MAD)65
Skewness-0.3878665608
Sum9199923
Variance7571.858166
MonotonicityNot monotonic
2025-03-23T12:51:54.949550image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13916
 
19.9%
255 655
 
0.9%
223 572
 
0.8%
219 563
 
0.8%
216 559
 
0.8%
226 557
 
0.8%
222 554
 
0.8%
221 550
 
0.8%
225 546
 
0.8%
217 543
 
0.8%
Other values (246) 50985
72.8%
ValueCountFrequency (%)
0 13916
19.9%
1 120
 
0.2%
2 129
 
0.2%
3 85
 
0.1%
4 68
 
0.1%
ValueCountFrequency (%)
255 655
0.9%
254 123
 
0.2%
253 111
 
0.2%
252 98
 
0.1%
251 97
 
0.1%

627
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean136.5038143
Minimum0
Maximum255
Zeros13272
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:55.105750image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q156
median165
Q3213
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)157

Descriptive statistics

Standard deviation86.9718057
Coefficient of variation (CV)0.6371382819
Kurtosis-1.272676847
Mean136.5038143
Median Absolute Deviation (MAD)59
Skewness-0.4803306475
Sum9555267
Variance7564.094987
MonotonicityNot monotonic
2025-03-23T12:51:55.261966image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13272
 
19.0%
225 693
 
1.0%
228 628
 
0.9%
226 615
 
0.9%
229 612
 
0.9%
220 605
 
0.9%
231 604
 
0.9%
224 603
 
0.9%
222 594
 
0.8%
227 589
 
0.8%
Other values (246) 51185
73.1%
ValueCountFrequency (%)
0 13272
19.0%
1 106
 
0.2%
2 100
 
0.1%
3 74
 
0.1%
4 55
 
0.1%
ValueCountFrequency (%)
255 550
0.8%
254 113
 
0.2%
253 85
 
0.1%
252 99
 
0.1%
251 112
 
0.2%

628
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean134.8104
Minimum0
Maximum255
Zeros13548
Zeros (%)19.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:55.418177image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q151
median162
Q3213
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)162

Descriptive statistics

Standard deviation87.59913725
Coefficient of variation (CV)0.6497950992
Kurtosis-1.318039547
Mean134.8104
Median Absolute Deviation (MAD)63
Skewness-0.4354743368
Sum9436728
Variance7673.608846
MonotonicityNot monotonic
2025-03-23T12:51:55.558765image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13548
 
19.4%
255 677
 
1.0%
230 620
 
0.9%
225 615
 
0.9%
222 611
 
0.9%
226 606
 
0.9%
228 603
 
0.9%
229 587
 
0.8%
227 583
 
0.8%
217 569
 
0.8%
Other values (246) 50981
72.8%
ValueCountFrequency (%)
0 13548
19.4%
1 135
 
0.2%
2 102
 
0.1%
3 68
 
0.1%
4 70
 
0.1%
ValueCountFrequency (%)
255 677
1.0%
254 147
 
0.2%
253 112
 
0.2%
252 108
 
0.2%
251 92
 
0.1%

629
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.2686429
Minimum0
Maximum255
Zeros16392
Zeros (%)23.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:55.714942image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q113
median146
Q3208
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)195

Descriptive statistics

Standard deviation89.96909022
Coefficient of variation (CV)0.723988676
Kurtosis-1.504013253
Mean124.2686429
Median Absolute Deviation (MAD)75
Skewness-0.2517665835
Sum8698805
Variance8094.437194
MonotonicityNot monotonic
2025-03-23T12:51:55.871192image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16392
 
23.4%
255 571
 
0.8%
227 558
 
0.8%
230 548
 
0.8%
225 540
 
0.8%
220 539
 
0.8%
224 534
 
0.8%
219 533
 
0.8%
229 533
 
0.8%
231 528
 
0.8%
Other values (246) 48724
69.6%
ValueCountFrequency (%)
0 16392
23.4%
1 165
 
0.2%
2 131
 
0.2%
3 111
 
0.2%
4 98
 
0.1%
ValueCountFrequency (%)
255 571
0.8%
254 119
 
0.2%
253 87
 
0.1%
252 90
 
0.1%
251 74
 
0.1%

630
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.9937
Minimum0
Maximum255
Zeros19450
Zeros (%)27.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:56.011792image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median135
Q3205
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)205

Descriptive statistics

Standard deviation91.77623977
Coefficient of variation (CV)0.7844545456
Kurtosis-1.597254022
Mean116.9937
Median Absolute Deviation (MAD)84
Skewness-0.138874353
Sum8189559
Variance8422.878187
MonotonicityNot monotonic
2025-03-23T12:51:56.167996image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19450
27.8%
230 526
 
0.8%
226 510
 
0.7%
219 509
 
0.7%
224 505
 
0.7%
220 503
 
0.7%
221 503
 
0.7%
225 493
 
0.7%
222 492
 
0.7%
228 491
 
0.7%
Other values (246) 46018
65.7%
ValueCountFrequency (%)
0 19450
27.8%
1 158
 
0.2%
2 142
 
0.2%
3 137
 
0.2%
4 126
 
0.2%
ValueCountFrequency (%)
255 421
0.6%
254 98
 
0.1%
253 73
 
0.1%
252 71
 
0.1%
251 83
 
0.1%

631
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.0885143
Minimum0
Maximum255
Zeros16738
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:56.308588image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median144
Q3208
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)201

Descriptive statistics

Standard deviation90.42383172
Coefficient of variation (CV)0.7346244469
Kurtosis-1.519474016
Mean123.0885143
Median Absolute Deviation (MAD)77
Skewness-0.2252236129
Sum8616196
Variance8176.469343
MonotonicityNot monotonic
2025-03-23T12:51:56.464785image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16738
 
23.9%
255 728
 
1.0%
228 545
 
0.8%
227 543
 
0.8%
221 535
 
0.8%
224 521
 
0.7%
220 517
 
0.7%
218 511
 
0.7%
222 510
 
0.7%
229 508
 
0.7%
Other values (246) 48344
69.1%
ValueCountFrequency (%)
0 16738
23.9%
1 195
 
0.3%
2 151
 
0.2%
3 120
 
0.2%
4 86
 
0.1%
ValueCountFrequency (%)
255 728
1.0%
254 122
 
0.2%
253 104
 
0.1%
252 87
 
0.1%
251 99
 
0.1%

632
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.9155143
Minimum0
Maximum255
Zeros15911
Zeros (%)22.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:56.621020image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q119
median154
Q3211
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)192

Descriptive statistics

Standard deviation90.37493157
Coefficient of variation (CV)0.706520488
Kurtosis-1.472766056
Mean127.9155143
Median Absolute Deviation (MAD)70
Skewness-0.3162252157
Sum8954086
Variance8167.628257
MonotonicityNot monotonic
2025-03-23T12:51:56.761610image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15911
 
22.7%
255 670
 
1.0%
217 563
 
0.8%
229 559
 
0.8%
228 559
 
0.8%
220 558
 
0.8%
213 553
 
0.8%
221 553
 
0.8%
223 547
 
0.8%
219 547
 
0.8%
Other values (246) 48980
70.0%
ValueCountFrequency (%)
0 15911
22.7%
1 290
 
0.4%
2 168
 
0.2%
3 120
 
0.2%
4 109
 
0.2%
ValueCountFrequency (%)
255 670
1.0%
254 144
 
0.2%
253 98
 
0.1%
252 108
 
0.2%
251 117
 
0.2%

633
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.1751714
Minimum0
Maximum255
Zeros16925
Zeros (%)24.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:56.917824image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median146
Q3208
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)206

Descriptive statistics

Standard deviation90.89869374
Coefficient of variation (CV)0.7379627946
Kurtosis-1.53180178
Mean123.1751714
Median Absolute Deviation (MAD)76
Skewness-0.2406664724
Sum8622262
Variance8262.572523
MonotonicityNot monotonic
2025-03-23T12:51:57.074033image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16925
 
24.2%
255 601
 
0.9%
219 548
 
0.8%
224 541
 
0.8%
225 539
 
0.8%
230 534
 
0.8%
226 528
 
0.8%
228 526
 
0.8%
221 524
 
0.7%
217 523
 
0.7%
Other values (246) 48211
68.9%
ValueCountFrequency (%)
0 16925
24.2%
1 408
 
0.6%
2 275
 
0.4%
3 176
 
0.3%
4 136
 
0.2%
ValueCountFrequency (%)
255 601
0.9%
254 116
 
0.2%
253 79
 
0.1%
252 89
 
0.1%
251 96
 
0.1%

634
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.1763571
Minimum0
Maximum255
Zeros19212
Zeros (%)27.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:57.230232image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median125
Q3201
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)201

Descriptive statistics

Standard deviation91.22541907
Coefficient of variation (CV)0.8060466106
Kurtosis-1.587830415
Mean113.1763571
Median Absolute Deviation (MAD)90
Skewness-0.05777268843
Sum7922345
Variance8322.077085
MonotonicityNot monotonic
2025-03-23T12:51:57.370838image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19212
27.4%
255 781
 
1.1%
222 474
 
0.7%
226 471
 
0.7%
215 469
 
0.7%
216 468
 
0.7%
1 457
 
0.7%
217 454
 
0.6%
220 452
 
0.6%
221 448
 
0.6%
Other values (246) 46314
66.2%
ValueCountFrequency (%)
0 19212
27.4%
1 457
 
0.7%
2 290
 
0.4%
3 197
 
0.3%
4 137
 
0.2%
ValueCountFrequency (%)
255 781
1.1%
254 145
 
0.2%
253 103
 
0.1%
252 111
 
0.2%
251 104
 
0.1%

635
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.70704286
Minimum0
Maximum255
Zeros23407
Zeros (%)33.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:57.511433image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median91
Q3192
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)192

Descriptive statistics

Standard deviation92.66468491
Coefficient of variation (CV)0.9293695035
Kurtosis-1.566195846
Mean99.70704286
Median Absolute Deviation (MAD)91
Skewness0.210055627
Sum6979493
Variance8586.74383
MonotonicityNot monotonic
2025-03-23T12:51:57.667643image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23407
33.4%
255 1233
 
1.8%
1 548
 
0.8%
2 384
 
0.5%
214 383
 
0.5%
226 375
 
0.5%
222 373
 
0.5%
220 363
 
0.5%
224 357
 
0.5%
219 355
 
0.5%
Other values (246) 42222
60.3%
ValueCountFrequency (%)
0 23407
33.4%
1 548
 
0.8%
2 384
 
0.5%
3 271
 
0.4%
4 181
 
0.3%
ValueCountFrequency (%)
255 1233
1.8%
254 202
 
0.3%
253 182
 
0.3%
252 145
 
0.2%
251 113
 
0.2%

636
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80.18452857
Minimum0
Maximum255
Zeros28794
Zeros (%)41.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:57.818272image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median40
Q3166
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)166

Descriptive statistics

Standard deviation88.62364483
Coefficient of variation (CV)1.105246192
Kurtosis-1.269875091
Mean80.18452857
Median Absolute Deviation (MAD)40
Skewness0.5677531982
Sum5612917
Variance7854.150423
MonotonicityNot monotonic
2025-03-23T12:51:57.977326image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28794
41.1%
255 716
 
1.0%
1 531
 
0.8%
2 445
 
0.6%
3 297
 
0.4%
210 277
 
0.4%
214 269
 
0.4%
216 267
 
0.4%
224 265
 
0.4%
207 264
 
0.4%
Other values (246) 37875
54.1%
ValueCountFrequency (%)
0 28794
41.1%
1 531
 
0.8%
2 445
 
0.6%
3 297
 
0.4%
4 225
 
0.3%
ValueCountFrequency (%)
255 716
1.0%
254 92
 
0.1%
253 99
 
0.1%
252 82
 
0.1%
251 73
 
0.1%

637
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.02144286
Minimum0
Maximum255
Zeros32599
Zeros (%)46.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:58.133497image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median9
Q3167
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)167

Descriptive statistics

Standard deviation90.96574737
Coefficient of variation (CV)1.196580122
Kurtosis-1.203885852
Mean76.02144286
Median Absolute Deviation (MAD)9
Skewness0.6684277323
Sum5321501
Variance8274.767194
MonotonicityNot monotonic
2025-03-23T12:51:58.289747image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32599
46.6%
255 974
 
1.4%
1 638
 
0.9%
2 479
 
0.7%
3 386
 
0.6%
221 265
 
0.4%
214 263
 
0.4%
204 261
 
0.4%
210 259
 
0.4%
217 259
 
0.4%
Other values (246) 33617
48.0%
ValueCountFrequency (%)
0 32599
46.6%
1 638
 
0.9%
2 479
 
0.7%
3 386
 
0.6%
4 236
 
0.3%
ValueCountFrequency (%)
255 974
1.4%
254 164
 
0.2%
253 106
 
0.2%
252 96
 
0.1%
251 94
 
0.1%

638
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.22445714
Minimum0
Maximum255
Zeros34408
Zeros (%)49.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:58.430341image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q3175
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)175

Descriptive statistics

Standard deviation93.91228908
Coefficient of variation (CV)1.2320493
Kurtosis-1.265395803
Mean76.22445714
Median Absolute Deviation (MAD)1
Skewness0.6671960952
Sum5335712
Variance8819.518041
MonotonicityNot monotonic
2025-03-23T12:51:58.586553image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34408
49.2%
255 1114
 
1.6%
1 831
 
1.2%
2 681
 
1.0%
3 509
 
0.7%
4 348
 
0.5%
210 285
 
0.4%
228 282
 
0.4%
225 279
 
0.4%
213 275
 
0.4%
Other values (246) 30988
44.3%
ValueCountFrequency (%)
0 34408
49.2%
1 831
 
1.2%
2 681
 
1.0%
3 509
 
0.7%
4 348
 
0.5%
ValueCountFrequency (%)
255 1114
1.6%
254 225
 
0.3%
253 132
 
0.2%
252 99
 
0.1%
251 129
 
0.2%

639
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.10371429
Minimum0
Maximum255
Zeros36361
Zeros (%)51.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:58.727151image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3146
95-th percentile229
Maximum255
Range255
Interquartile range (IQR)146

Descriptive statistics

Standard deviation87.41100599
Coefficient of variation (CV)1.322331233
Kurtosis-0.9316957528
Mean66.10371429
Median Absolute Deviation (MAD)0
Skewness0.8467766773
Sum4627260
Variance7640.683967
MonotonicityNot monotonic
2025-03-23T12:51:58.883321image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36361
51.9%
1 1127
 
1.6%
2 769
 
1.1%
3 571
 
0.8%
255 523
 
0.7%
4 412
 
0.6%
5 249
 
0.4%
214 232
 
0.3%
216 231
 
0.3%
210 228
 
0.3%
Other values (246) 29297
41.9%
ValueCountFrequency (%)
0 36361
51.9%
1 1127
 
1.6%
2 769
 
1.1%
3 571
 
0.8%
4 412
 
0.6%
ValueCountFrequency (%)
255 523
0.7%
254 104
 
0.1%
253 83
 
0.1%
252 78
 
0.1%
251 60
 
0.1%

640
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.502
Minimum0
Maximum255
Zeros44599
Zeros (%)63.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:59.023953image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q387
95-th percentile216
Maximum255
Range255
Interquartile range (IQR)87

Descriptive statistics

Standard deviation76.91536533
Coefficient of variation (CV)1.619202672
Kurtosis0.1888181577
Mean47.502
Median Absolute Deviation (MAD)0
Skewness1.320244997
Sum3325140
Variance5915.973424
MonotonicityNot monotonic
2025-03-23T12:51:59.586279image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 44599
63.7%
1 619
 
0.9%
2 341
 
0.5%
255 229
 
0.3%
3 219
 
0.3%
4 189
 
0.3%
209 171
 
0.2%
211 163
 
0.2%
205 162
 
0.2%
207 160
 
0.2%
Other values (246) 23148
33.1%
ValueCountFrequency (%)
0 44599
63.7%
1 619
 
0.9%
2 341
 
0.5%
3 219
 
0.3%
4 189
 
0.3%
ValueCountFrequency (%)
255 229
0.3%
254 42
 
0.1%
253 36
 
0.1%
252 32
 
< 0.1%
251 31
 
< 0.1%

641
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.87675714
Minimum0
Maximum255
Zeros53640
Zeros (%)76.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:51:59.726872image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile207
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation68.09260232
Coefficient of variation (CV)2.136120748
Kurtosis2.331274895
Mean31.87675714
Median Absolute Deviation (MAD)0
Skewness1.96468742
Sum2231373
Variance4636.602491
MonotonicityNot monotonic
2025-03-23T12:51:59.883122image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53640
76.6%
1 337
 
0.5%
255 206
 
0.3%
2 170
 
0.2%
206 129
 
0.2%
204 129
 
0.2%
196 128
 
0.2%
195 126
 
0.2%
198 124
 
0.2%
213 123
 
0.2%
Other values (246) 14888
 
21.3%
ValueCountFrequency (%)
0 53640
76.6%
1 337
 
0.5%
2 170
 
0.2%
3 119
 
0.2%
4 91
 
0.1%
ValueCountFrequency (%)
255 206
0.3%
254 28
 
< 0.1%
253 29
 
< 0.1%
252 28
 
< 0.1%
251 24
 
< 0.1%

642
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.99132857
Minimum0
Maximum255
Zeros57887
Zeros (%)82.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:00.039332image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile195
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation59.27430944
Coefficient of variation (CV)2.69534918
Kurtosis6.151098022
Mean21.99132857
Median Absolute Deviation (MAD)0
Skewness2.725905189
Sum1539393
Variance3513.44376
MonotonicityNot monotonic
2025-03-23T12:52:00.179928image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 57887
82.7%
255 549
 
0.8%
1 316
 
0.5%
2 206
 
0.3%
3 163
 
0.2%
4 124
 
0.2%
7 81
 
0.1%
6 75
 
0.1%
5 72
 
0.1%
215 71
 
0.1%
Other values (246) 10456
 
14.9%
ValueCountFrequency (%)
0 57887
82.7%
1 316
 
0.5%
2 206
 
0.3%
3 163
 
0.2%
4 124
 
0.2%
ValueCountFrequency (%)
255 549
0.8%
254 37
 
0.1%
253 41
 
0.1%
252 33
 
< 0.1%
251 29
 
< 0.1%

643
Real number (ℝ)

Zeros 

Distinct221
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.063428571
Minimum0
Maximum233
Zeros63829
Zeros (%)91.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:00.336140image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile37
Maximum233
Range233
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21.99797857
Coefficient of variation (CV)4.344482846
Kurtosis31.1801806
Mean5.063428571
Median Absolute Deviation (MAD)0
Skewness5.334429354
Sum354440
Variance483.9110613
MonotonicityNot monotonic
2025-03-23T12:52:00.492315image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63829
91.2%
1 349
 
0.5%
2 204
 
0.3%
3 139
 
0.2%
4 124
 
0.2%
5 89
 
0.1%
6 82
 
0.1%
11 77
 
0.1%
7 72
 
0.1%
12 68
 
0.1%
Other values (211) 4967
 
7.1%
ValueCountFrequency (%)
0 63829
91.2%
1 349
 
0.5%
2 204
 
0.3%
3 139
 
0.2%
4 124
 
0.2%
ValueCountFrequency (%)
233 1
< 0.1%
230 1
< 0.1%
228 1
< 0.1%
227 1
< 0.1%
226 1
< 0.1%

644
Real number (ℝ)

Zeros 

Distinct216
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3242
Minimum0
Maximum235
Zeros65555
Zeros (%)93.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:00.632945image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum235
Range235
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.96254168
Coefficient of variation (CV)5.403568282
Kurtosis48.43027959
Mean3.3242
Median Absolute Deviation (MAD)0
Skewness6.608960162
Sum232694
Variance322.6529037
MonotonicityNot monotonic
2025-03-23T12:52:00.789157image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65555
93.7%
1 513
 
0.7%
2 279
 
0.4%
3 135
 
0.2%
4 94
 
0.1%
5 77
 
0.1%
6 56
 
0.1%
8 47
 
0.1%
16 39
 
0.1%
7 39
 
0.1%
Other values (206) 3166
 
4.5%
ValueCountFrequency (%)
0 65555
93.7%
1 513
 
0.7%
2 279
 
0.4%
3 135
 
0.2%
4 94
 
0.1%
ValueCountFrequency (%)
235 1
< 0.1%
233 1
< 0.1%
230 2
< 0.1%
227 1
< 0.1%
222 1
< 0.1%

645
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.01238571
Minimum0
Maximum255
Zeros62855
Zeros (%)89.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:00.929749image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile106
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation41.76683694
Coefficient of variation (CV)3.792714678
Kurtosis16.16908353
Mean11.01238571
Median Absolute Deviation (MAD)0
Skewness4.08944235
Sum770867
Variance1744.468668
MonotonicityNot monotonic
2025-03-23T12:52:01.085963image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62855
89.8%
1 460
 
0.7%
2 247
 
0.4%
3 154
 
0.2%
255 146
 
0.2%
4 120
 
0.2%
5 77
 
0.1%
6 50
 
0.1%
7 48
 
0.1%
17 42
 
0.1%
Other values (246) 5801
 
8.3%
ValueCountFrequency (%)
0 62855
89.8%
1 460
 
0.7%
2 247
 
0.4%
3 154
 
0.2%
4 120
 
0.2%
ValueCountFrequency (%)
255 146
0.2%
254 11
 
< 0.1%
253 13
 
< 0.1%
252 13
 
< 0.1%
251 20
 
< 0.1%

646
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.06125714
Minimum0
Maximum255
Zeros60125
Zeros (%)85.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:01.226517image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile165
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation51.09174936
Coefficient of variation (CV)2.994606372
Kurtosis8.331675198
Mean17.06125714
Median Absolute Deviation (MAD)0
Skewness3.072587482
Sum1194288
Variance2610.366853
MonotonicityNot monotonic
2025-03-23T12:52:01.382768image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60125
85.9%
1 405
 
0.6%
2 208
 
0.3%
3 139
 
0.2%
255 119
 
0.2%
4 107
 
0.2%
6 62
 
0.1%
5 60
 
0.1%
193 59
 
0.1%
194 56
 
0.1%
Other values (246) 8660
 
12.4%
ValueCountFrequency (%)
0 60125
85.9%
1 405
 
0.6%
2 208
 
0.3%
3 139
 
0.2%
4 107
 
0.2%
ValueCountFrequency (%)
255 119
0.2%
254 18
 
< 0.1%
253 8
 
< 0.1%
252 12
 
< 0.1%
251 11
 
< 0.1%

647
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.01554286
Minimum0
Maximum255
Zeros53832
Zeros (%)76.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:01.538983image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile197
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation63.74320292
Coefficient of variation (CV)2.196864047
Kurtosis3.026676228
Mean29.01554286
Median Absolute Deviation (MAD)0
Skewness2.097502884
Sum2031088
Variance4063.195918
MonotonicityNot monotonic
2025-03-23T12:52:01.679574image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53832
76.9%
1 509
 
0.7%
2 242
 
0.3%
3 171
 
0.2%
255 163
 
0.2%
4 113
 
0.2%
202 96
 
0.1%
193 96
 
0.1%
206 96
 
0.1%
5 86
 
0.1%
Other values (246) 14596
 
20.9%
ValueCountFrequency (%)
0 53832
76.9%
1 509
 
0.7%
2 242
 
0.3%
3 171
 
0.2%
4 113
 
0.2%
ValueCountFrequency (%)
255 163
0.2%
254 36
 
0.1%
253 15
 
< 0.1%
252 12
 
< 0.1%
251 20
 
< 0.1%

648
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.23255714
Minimum0
Maximum255
Zeros43189
Zeros (%)61.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:01.830034image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q398
95-th percentile220
Maximum255
Range255
Interquartile range (IQR)98

Descriptive statistics

Standard deviation79.01774258
Coefficient of variation (CV)1.573038425
Kurtosis-0.008425720031
Mean50.23255714
Median Absolute Deviation (MAD)0
Skewness1.247081423
Sum3516279
Variance6243.803643
MonotonicityNot monotonic
2025-03-23T12:52:01.986250image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43189
61.7%
1 845
 
1.2%
2 551
 
0.8%
3 354
 
0.5%
255 342
 
0.5%
4 260
 
0.4%
204 158
 
0.2%
206 155
 
0.2%
215 152
 
0.2%
216 149
 
0.2%
Other values (246) 23845
34.1%
ValueCountFrequency (%)
0 43189
61.7%
1 845
 
1.2%
2 551
 
0.8%
3 354
 
0.5%
4 260
 
0.4%
ValueCountFrequency (%)
255 342
0.5%
254 52
 
0.1%
253 38
 
0.1%
252 46
 
0.1%
251 47
 
0.1%

649
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.3596
Minimum0
Maximum255
Zeros38074
Zeros (%)54.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:02.126804image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3151
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)151

Descriptive statistics

Standard deviation89.86488173
Coefficient of variation (CV)1.374930106
Kurtosis-0.9035821546
Mean65.3596
Median Absolute Deviation (MAD)0
Skewness0.8923527124
Sum4575172
Variance8075.696969
MonotonicityNot monotonic
2025-03-23T12:52:02.267435image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 38074
54.4%
1 1018
 
1.5%
2 815
 
1.2%
255 665
 
0.9%
3 658
 
0.9%
4 443
 
0.6%
5 263
 
0.4%
202 250
 
0.4%
218 244
 
0.3%
227 240
 
0.3%
Other values (246) 27330
39.0%
ValueCountFrequency (%)
0 38074
54.4%
1 1018
 
1.5%
2 815
 
1.2%
3 658
 
0.9%
4 443
 
0.6%
ValueCountFrequency (%)
255 665
0.9%
254 134
 
0.2%
253 91
 
0.1%
252 94
 
0.1%
251 85
 
0.1%

650
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.21998571
Minimum0
Maximum255
Zeros36139
Zeros (%)51.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:02.423649image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3164
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)164

Descriptive statistics

Standard deviation92.20430987
Coefficient of variation (CV)1.276714596
Kurtosis-1.108959065
Mean72.21998571
Median Absolute Deviation (MAD)0
Skewness0.7593402022
Sum5055399
Variance8501.634758
MonotonicityNot monotonic
2025-03-23T12:52:02.579857image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36139
51.6%
255 1151
 
1.6%
1 558
 
0.8%
2 481
 
0.7%
3 375
 
0.5%
224 265
 
0.4%
215 259
 
0.4%
216 259
 
0.4%
211 251
 
0.4%
225 244
 
0.3%
Other values (246) 30018
42.9%
ValueCountFrequency (%)
0 36139
51.6%
1 558
 
0.8%
2 481
 
0.7%
3 375
 
0.5%
4 236
 
0.3%
ValueCountFrequency (%)
255 1151
1.6%
254 199
 
0.3%
253 146
 
0.2%
252 134
 
0.2%
251 107
 
0.2%

651
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.09134286
Minimum0
Maximum255
Zeros32629
Zeros (%)46.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:02.720457image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median15
Q3154
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)154

Descriptive statistics

Standard deviation87.74419875
Coefficient of variation (CV)1.200473207
Kurtosis-1.071292713
Mean73.09134286
Median Absolute Deviation (MAD)15
Skewness0.7220173761
Sum5116394
Variance7699.044414
MonotonicityNot monotonic
2025-03-23T12:52:02.876664image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32629
46.6%
255 706
 
1.0%
1 375
 
0.5%
2 333
 
0.5%
222 261
 
0.4%
3 256
 
0.4%
216 233
 
0.3%
221 232
 
0.3%
214 232
 
0.3%
208 232
 
0.3%
Other values (246) 34511
49.3%
ValueCountFrequency (%)
0 32629
46.6%
1 375
 
0.5%
2 333
 
0.5%
3 256
 
0.4%
4 198
 
0.3%
ValueCountFrequency (%)
255 706
1.0%
254 105
 
0.1%
253 85
 
0.1%
252 83
 
0.1%
251 73
 
0.1%

652
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.41772857
Minimum0
Maximum255
Zeros26699
Zeros (%)38.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:03.032875image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median78
Q3188
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)188

Descriptive statistics

Standard deviation92.85273946
Coefficient of variation (CV)0.9834248384
Kurtosis-1.52832414
Mean94.41772857
Median Absolute Deviation (MAD)78
Skewness0.3011805367
Sum6609241
Variance8621.631226
MonotonicityNot monotonic
2025-03-23T12:52:03.173430image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26699
38.1%
255 1248
 
1.8%
212 341
 
0.5%
220 339
 
0.5%
225 323
 
0.5%
223 319
 
0.5%
207 315
 
0.4%
221 315
 
0.4%
222 311
 
0.4%
214 306
 
0.4%
Other values (246) 39484
56.4%
ValueCountFrequency (%)
0 26699
38.1%
1 231
 
0.3%
2 227
 
0.3%
3 165
 
0.2%
4 115
 
0.2%
ValueCountFrequency (%)
255 1248
1.8%
254 152
 
0.2%
253 154
 
0.2%
252 125
 
0.2%
251 122
 
0.2%

653
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.0854
Minimum0
Maximum255
Zeros21560
Zeros (%)30.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:03.329680image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median120
Q3203
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)203

Descriptive statistics

Standard deviation93.30907857
Coefficient of variation (CV)0.8399760776
Kurtosis-1.611519806
Mean111.0854
Median Absolute Deviation (MAD)98
Skewness-0.003264962124
Sum7775978
Variance8706.584144
MonotonicityNot monotonic
2025-03-23T12:52:03.470285image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21560
30.8%
255 1183
 
1.7%
226 452
 
0.6%
217 432
 
0.6%
224 428
 
0.6%
222 427
 
0.6%
221 420
 
0.6%
215 418
 
0.6%
216 418
 
0.6%
220 410
 
0.6%
Other values (246) 43852
62.6%
ValueCountFrequency (%)
0 21560
30.8%
1 238
 
0.3%
2 221
 
0.3%
3 183
 
0.3%
4 118
 
0.2%
ValueCountFrequency (%)
255 1183
1.7%
254 205
 
0.3%
253 148
 
0.2%
252 126
 
0.2%
251 123
 
0.2%

654
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122.2579286
Minimum0
Maximum255
Zeros17742
Zeros (%)25.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:03.610868image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median144
Q3207
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)207

Descriptive statistics

Standard deviation90.64018281
Coefficient of variation (CV)0.7413849054
Kurtosis-1.525742328
Mean122.2579286
Median Absolute Deviation (MAD)76
Skewness-0.2251541743
Sum8558055
Variance8215.642739
MonotonicityNot monotonic
2025-03-23T12:52:03.767081image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17742
 
25.3%
255 656
 
0.9%
227 548
 
0.8%
219 540
 
0.8%
224 519
 
0.7%
223 500
 
0.7%
226 495
 
0.7%
218 494
 
0.7%
225 490
 
0.7%
230 488
 
0.7%
Other values (246) 47528
67.9%
ValueCountFrequency (%)
0 17742
25.3%
1 181
 
0.3%
2 133
 
0.2%
3 116
 
0.2%
4 72
 
0.1%
ValueCountFrequency (%)
255 656
0.9%
254 113
 
0.2%
253 104
 
0.1%
252 113
 
0.2%
251 102
 
0.1%

655
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.0638143
Minimum0
Maximum255
Zeros16960
Zeros (%)24.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:03.923254image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median155
Q3211
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)203

Descriptive statistics

Standard deviation90.92765537
Coefficient of variation (CV)0.7100183286
Kurtosis-1.476607033
Mean128.0638143
Median Absolute Deviation (MAD)69
Skewness-0.3257744042
Sum8964467
Variance8267.838511
MonotonicityNot monotonic
2025-03-23T12:52:04.079501image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16960
 
24.2%
255 603
 
0.9%
222 586
 
0.8%
229 582
 
0.8%
226 581
 
0.8%
230 579
 
0.8%
224 572
 
0.8%
228 565
 
0.8%
221 558
 
0.8%
223 553
 
0.8%
Other values (246) 47861
68.4%
ValueCountFrequency (%)
0 16960
24.2%
1 124
 
0.2%
2 130
 
0.2%
3 101
 
0.1%
4 58
 
0.1%
ValueCountFrequency (%)
255 603
0.9%
254 135
 
0.2%
253 83
 
0.1%
252 90
 
0.1%
251 100
 
0.1%

656
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.3695143
Minimum0
Maximum255
Zeros17262
Zeros (%)24.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:04.220110image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median151
Q3211
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)209

Descriptive statistics

Standard deviation91.47804939
Coefficient of variation (CV)0.723893337
Kurtosis-1.50668718
Mean126.3695143
Median Absolute Deviation (MAD)73
Skewness-0.2823774811
Sum8845866
Variance8368.23352
MonotonicityNot monotonic
2025-03-23T12:52:04.407514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17262
 
24.7%
255 731
 
1.0%
225 566
 
0.8%
228 562
 
0.8%
227 551
 
0.8%
226 551
 
0.8%
230 550
 
0.8%
229 548
 
0.8%
219 545
 
0.8%
223 534
 
0.8%
Other values (246) 47600
68.0%
ValueCountFrequency (%)
0 17262
24.7%
1 135
 
0.2%
2 107
 
0.2%
3 95
 
0.1%
4 79
 
0.1%
ValueCountFrequency (%)
255 731
1.0%
254 171
 
0.2%
253 115
 
0.2%
252 110
 
0.2%
251 127
 
0.2%

657
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.9334143
Minimum0
Maximum255
Zeros20194
Zeros (%)28.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:04.626213image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median131
Q3206
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)206

Descriptive statistics

Standard deviation92.88339202
Coefficient of variation (CV)0.8011787852
Kurtosis-1.613277572
Mean115.9334143
Median Absolute Deviation (MAD)89
Skewness-0.1017883496
Sum8115339
Variance8627.324514
MonotonicityNot monotonic
2025-03-23T12:52:04.829326image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20194
28.8%
255 652
 
0.9%
228 511
 
0.7%
219 503
 
0.7%
222 501
 
0.7%
216 492
 
0.7%
225 489
 
0.7%
224 488
 
0.7%
230 487
 
0.7%
221 486
 
0.7%
Other values (246) 45197
64.6%
ValueCountFrequency (%)
0 20194
28.8%
1 175
 
0.2%
2 149
 
0.2%
3 124
 
0.2%
4 99
 
0.1%
ValueCountFrequency (%)
255 652
0.9%
254 142
 
0.2%
253 94
 
0.1%
252 96
 
0.1%
251 72
 
0.1%

658
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.2470857
Minimum0
Maximum255
Zeros23356
Zeros (%)33.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:05.391695image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median116
Q3202
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)202

Descriptive statistics

Standard deviation94.013538
Coefficient of variation (CV)0.8685087213
Kurtosis-1.661604789
Mean108.2470857
Median Absolute Deviation (MAD)104
Skewness0.02019923628
Sum7577296
Variance8838.545328
MonotonicityNot monotonic
2025-03-23T12:52:05.547907image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23356
33.4%
220 499
 
0.7%
255 481
 
0.7%
227 480
 
0.7%
226 474
 
0.7%
222 469
 
0.7%
228 468
 
0.7%
225 467
 
0.7%
230 466
 
0.7%
219 456
 
0.7%
Other values (246) 42384
60.5%
ValueCountFrequency (%)
0 23356
33.4%
1 205
 
0.3%
2 183
 
0.3%
3 147
 
0.2%
4 142
 
0.2%
ValueCountFrequency (%)
255 481
0.7%
254 86
 
0.1%
253 88
 
0.1%
252 94
 
0.1%
251 80
 
0.1%

659
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.3380714
Minimum0
Maximum255
Zeros21014
Zeros (%)30.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:05.704125image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median125
Q3205
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)205

Descriptive statistics

Standard deviation93.29511643
Coefficient of variation (CV)0.8231577903
Kurtosis-1.629171465
Mean113.3380714
Median Absolute Deviation (MAD)94
Skewness-0.05600768458
Sum7933665
Variance8703.97875
MonotonicityNot monotonic
2025-03-23T12:52:05.844714image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21014
30.0%
255 700
 
1.0%
227 504
 
0.7%
229 503
 
0.7%
228 487
 
0.7%
225 481
 
0.7%
223 480
 
0.7%
230 477
 
0.7%
221 477
 
0.7%
226 465
 
0.7%
Other values (246) 44412
63.4%
ValueCountFrequency (%)
0 21014
30.0%
1 255
 
0.4%
2 181
 
0.3%
3 149
 
0.2%
4 119
 
0.2%
ValueCountFrequency (%)
255 700
1.0%
254 123
 
0.2%
253 110
 
0.2%
252 77
 
0.1%
251 89
 
0.1%

660
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.2237286
Minimum0
Maximum255
Zeros19870
Zeros (%)28.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:05.985310image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median138
Q3208
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)208

Descriptive statistics

Standard deviation93.55143864
Coefficient of variation (CV)0.7913084774
Kurtosis-1.616896939
Mean118.2237286
Median Absolute Deviation (MAD)85
Skewness-0.1471068758
Sum8275661
Variance8751.871672
MonotonicityNot monotonic
2025-03-23T12:52:06.141521image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19870
28.4%
255 616
 
0.9%
222 535
 
0.8%
220 521
 
0.7%
225 514
 
0.7%
229 509
 
0.7%
228 502
 
0.7%
227 501
 
0.7%
217 499
 
0.7%
215 498
 
0.7%
Other values (246) 45435
64.9%
ValueCountFrequency (%)
0 19870
28.4%
1 370
 
0.5%
2 281
 
0.4%
3 179
 
0.3%
4 126
 
0.2%
ValueCountFrequency (%)
255 616
0.9%
254 123
 
0.2%
253 118
 
0.2%
252 123
 
0.2%
251 116
 
0.2%

661
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.3922143
Minimum0
Maximum255
Zeros20539
Zeros (%)29.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:06.282109image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median131
Q3205
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)205

Descriptive statistics

Standard deviation93.42144785
Coefficient of variation (CV)0.8166766282
Kurtosis-1.638852732
Mean114.3922143
Median Absolute Deviation (MAD)90
Skewness-0.09108135805
Sum8007455
Variance8727.566919
MonotonicityNot monotonic
2025-03-23T12:52:06.438324image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20539
29.3%
1 541
 
0.8%
230 520
 
0.7%
225 519
 
0.7%
224 507
 
0.7%
223 495
 
0.7%
229 490
 
0.7%
228 487
 
0.7%
222 482
 
0.7%
217 481
 
0.7%
Other values (246) 44939
64.2%
ValueCountFrequency (%)
0 20539
29.3%
1 541
 
0.8%
2 372
 
0.5%
3 248
 
0.4%
4 184
 
0.3%
ValueCountFrequency (%)
255 472
0.7%
254 91
 
0.1%
253 70
 
0.1%
252 99
 
0.1%
251 106
 
0.2%

662
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.5873
Minimum0
Maximum255
Zeros22929
Zeros (%)32.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:06.578918image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median106
Q3197
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)197

Descriptive statistics

Standard deviation92.75560685
Coefficient of variation (CV)0.8868725634
Kurtosis-1.630791089
Mean104.5873
Median Absolute Deviation (MAD)106
Skewness0.08590409875
Sum7321111
Variance8603.602602
MonotonicityNot monotonic
2025-03-23T12:52:06.719509image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22929
32.8%
255 617
 
0.9%
1 562
 
0.8%
225 442
 
0.6%
215 430
 
0.6%
217 429
 
0.6%
216 428
 
0.6%
220 427
 
0.6%
223 424
 
0.6%
211 420
 
0.6%
Other values (246) 42892
61.3%
ValueCountFrequency (%)
0 22929
32.8%
1 562
 
0.8%
2 319
 
0.5%
3 246
 
0.4%
4 178
 
0.3%
ValueCountFrequency (%)
255 617
0.9%
254 111
 
0.2%
253 113
 
0.2%
252 96
 
0.1%
251 86
 
0.1%

663
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.03824286
Minimum0
Maximum255
Zeros27053
Zeros (%)38.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:06.875701image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median68
Q3187
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)187

Descriptive statistics

Standard deviation93.23591395
Coefficient of variation (CV)1.013012755
Kurtosis-1.521681439
Mean92.03824286
Median Absolute Deviation (MAD)68
Skewness0.3453472034
Sum6442677
Variance8692.935651
MonotonicityNot monotonic
2025-03-23T12:52:07.016315image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27053
38.6%
255 1229
 
1.8%
1 580
 
0.8%
2 451
 
0.6%
224 347
 
0.5%
222 338
 
0.5%
215 338
 
0.5%
218 338
 
0.5%
216 337
 
0.5%
221 332
 
0.5%
Other values (246) 38657
55.2%
ValueCountFrequency (%)
0 27053
38.6%
1 580
 
0.8%
2 451
 
0.6%
3 280
 
0.4%
4 193
 
0.3%
ValueCountFrequency (%)
255 1229
1.8%
254 169
 
0.2%
253 164
 
0.2%
252 121
 
0.2%
251 107
 
0.2%

664
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.17902857
Minimum0
Maximum255
Zeros32428
Zeros (%)46.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:07.172486image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median13
Q3153
95-th percentile229
Maximum255
Range255
Interquartile range (IQR)153

Descriptive statistics

Standard deviation86.99217699
Coefficient of variation (CV)1.205227872
Kurtosis-1.063707236
Mean72.17902857
Median Absolute Deviation (MAD)13
Skewness0.7277873963
Sum5052532
Variance7567.638858
MonotonicityNot monotonic
2025-03-23T12:52:07.313116image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32428
46.3%
255 636
 
0.9%
1 504
 
0.7%
2 421
 
0.6%
3 348
 
0.5%
213 251
 
0.4%
225 248
 
0.4%
206 243
 
0.3%
215 240
 
0.3%
223 239
 
0.3%
Other values (246) 34442
49.2%
ValueCountFrequency (%)
0 32428
46.3%
1 504
 
0.7%
2 421
 
0.6%
3 348
 
0.5%
4 229
 
0.3%
ValueCountFrequency (%)
255 636
0.9%
254 90
 
0.1%
253 80
 
0.1%
252 78
 
0.1%
251 61
 
0.1%

665
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.14511429
Minimum0
Maximum255
Zeros36030
Zeros (%)51.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:07.469338image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3148
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)148

Descriptive statistics

Standard deviation88.09497445
Coefficient of variation (CV)1.312008705
Kurtosis-0.9069749115
Mean67.14511429
Median Absolute Deviation (MAD)0
Skewness0.8562590588
Sum4700158
Variance7760.724524
MonotonicityNot monotonic
2025-03-23T12:52:07.625509image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36030
51.5%
255 730
 
1.0%
1 634
 
0.9%
2 509
 
0.7%
3 382
 
0.5%
4 259
 
0.4%
204 235
 
0.3%
227 233
 
0.3%
222 232
 
0.3%
221 228
 
0.3%
Other values (246) 30528
43.6%
ValueCountFrequency (%)
0 36030
51.5%
1 634
 
0.9%
2 509
 
0.7%
3 382
 
0.5%
4 259
 
0.4%
ValueCountFrequency (%)
255 730
1.0%
254 125
 
0.2%
253 82
 
0.1%
252 86
 
0.1%
251 74
 
0.1%

666
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.37771429
Minimum0
Maximum255
Zeros37752
Zeros (%)53.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:07.766138image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3160
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)160

Descriptive statistics

Standard deviation91.88264111
Coefficient of variation (CV)1.34375128
Kurtosis-1.018415609
Mean68.37771429
Median Absolute Deviation (MAD)0
Skewness0.8351749117
Sum4786440
Variance8442.419738
MonotonicityNot monotonic
2025-03-23T12:52:07.922347image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37752
53.9%
255 866
 
1.2%
1 840
 
1.2%
2 668
 
1.0%
3 537
 
0.8%
4 354
 
0.5%
5 261
 
0.4%
217 259
 
0.4%
229 257
 
0.4%
219 256
 
0.4%
Other values (246) 27950
39.9%
ValueCountFrequency (%)
0 37752
53.9%
1 840
 
1.2%
2 668
 
1.0%
3 537
 
0.8%
4 354
 
0.5%
ValueCountFrequency (%)
255 866
1.2%
254 185
 
0.3%
253 130
 
0.2%
252 113
 
0.2%
251 89
 
0.1%

667
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.60648571
Minimum0
Maximum255
Zeros39668
Zeros (%)56.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:08.062938image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3128
95-th percentile226
Maximum255
Range255
Interquartile range (IQR)128

Descriptive statistics

Standard deviation84.6824795
Coefficient of variation (CV)1.444933585
Kurtosis-0.5983496762
Mean58.60648571
Median Absolute Deviation (MAD)0
Skewness1.023596662
Sum4102454
Variance7171.122334
MonotonicityNot monotonic
2025-03-23T12:52:08.203494image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 39668
56.7%
1 1117
 
1.6%
2 835
 
1.2%
3 602
 
0.9%
255 417
 
0.6%
4 411
 
0.6%
5 232
 
0.3%
221 213
 
0.3%
214 206
 
0.3%
208 206
 
0.3%
Other values (246) 26093
37.3%
ValueCountFrequency (%)
0 39668
56.7%
1 1117
 
1.6%
2 835
 
1.2%
3 602
 
0.9%
4 411
 
0.6%
ValueCountFrequency (%)
255 417
0.6%
254 67
 
0.1%
253 51
 
0.1%
252 58
 
0.1%
251 60
 
0.1%

668
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.60795714
Minimum0
Maximum255
Zeros47730
Zeros (%)68.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:08.359750image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q356
95-th percentile210.05
Maximum255
Range255
Interquartile range (IQR)56

Descriptive statistics

Standard deviation72.59187536
Coefficient of variation (CV)1.787626871
Kurtosis0.911691788
Mean40.60795714
Median Absolute Deviation (MAD)0
Skewness1.554822632
Sum2842557
Variance5269.580368
MonotonicityNot monotonic
2025-03-23T12:52:08.500345image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 47730
68.2%
1 643
 
0.9%
2 426
 
0.6%
3 255
 
0.4%
255 196
 
0.3%
4 179
 
0.3%
221 142
 
0.2%
200 137
 
0.2%
206 134
 
0.2%
5 132
 
0.2%
Other values (246) 20026
28.6%
ValueCountFrequency (%)
0 47730
68.2%
1 643
 
0.9%
2 426
 
0.6%
3 255
 
0.4%
4 179
 
0.3%
ValueCountFrequency (%)
255 196
0.3%
254 24
 
< 0.1%
253 30
 
< 0.1%
252 32
 
< 0.1%
251 26
 
< 0.1%

669
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.31824286
Minimum0
Maximum255
Zeros56700
Zeros (%)81.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:08.640931image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile199
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation61.88647826
Coefficient of variation (CV)2.444343338
Kurtosis4.146229267
Mean25.31824286
Median Absolute Deviation (MAD)0
Skewness2.360647231
Sum1772277
Variance3829.936192
MonotonicityNot monotonic
2025-03-23T12:52:08.797141image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56700
81.0%
1 342
 
0.5%
2 180
 
0.3%
255 167
 
0.2%
3 125
 
0.2%
203 111
 
0.2%
194 99
 
0.1%
201 98
 
0.1%
204 97
 
0.1%
212 92
 
0.1%
Other values (246) 11989
 
17.1%
ValueCountFrequency (%)
0 56700
81.0%
1 342
 
0.5%
2 180
 
0.3%
3 125
 
0.2%
4 91
 
0.1%
ValueCountFrequency (%)
255 167
0.2%
254 28
 
< 0.1%
253 15
 
< 0.1%
252 20
 
< 0.1%
251 23
 
< 0.1%

670
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.04758571
Minimum0
Maximum255
Zeros60810
Zeros (%)86.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:08.953317image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile162
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation51.26818436
Coefficient of variation (CV)3.194759964
Kurtosis10.21106863
Mean16.04758571
Median Absolute Deviation (MAD)0
Skewness3.350519968
Sum1123331
Variance2628.426727
MonotonicityNot monotonic
2025-03-23T12:52:09.093948image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60810
86.9%
255 417
 
0.6%
1 327
 
0.5%
2 197
 
0.3%
3 121
 
0.2%
4 103
 
0.1%
5 89
 
0.1%
6 71
 
0.1%
8 56
 
0.1%
7 56
 
0.1%
Other values (246) 7753
 
11.1%
ValueCountFrequency (%)
0 60810
86.9%
1 327
 
0.5%
2 197
 
0.3%
3 121
 
0.2%
4 103
 
0.1%
ValueCountFrequency (%)
255 417
0.6%
254 33
 
< 0.1%
253 31
 
< 0.1%
252 25
 
< 0.1%
251 18
 
< 0.1%

671
Real number (ℝ)

Zeros 

Distinct217
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.476885714
Minimum0
Maximum233
Zeros65671
Zeros (%)93.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:09.250163image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum233
Range233
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18.50377606
Coefficient of variation (CV)5.321939684
Kurtosis47.33925426
Mean3.476885714
Median Absolute Deviation (MAD)0
Skewness6.543087587
Sum243382
Variance342.3897284
MonotonicityNot monotonic
2025-03-23T12:52:09.390754image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65671
93.8%
1 316
 
0.5%
2 204
 
0.3%
3 121
 
0.2%
4 78
 
0.1%
5 73
 
0.1%
8 53
 
0.1%
11 50
 
0.1%
7 49
 
0.1%
10 48
 
0.1%
Other values (207) 3337
 
4.8%
ValueCountFrequency (%)
0 65671
93.8%
1 316
 
0.5%
2 204
 
0.3%
3 121
 
0.2%
4 78
 
0.1%
ValueCountFrequency (%)
233 1
< 0.1%
232 1
< 0.1%
230 1
< 0.1%
224 1
< 0.1%
221 2
< 0.1%

672
Real number (ℝ)

Zeros 

Distinct205
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.936085714
Minimum0
Maximum247
Zeros67211
Zeros (%)96.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:09.546961image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum247
Range247
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.77696828
Coefficient of variation (CV)7.115887577
Kurtosis87.50245288
Mean1.936085714
Median Absolute Deviation (MAD)0
Skewness8.814157658
Sum135526
Variance189.804855
MonotonicityNot monotonic
2025-03-23T12:52:09.703180image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67211
96.0%
1 390
 
0.6%
2 203
 
0.3%
3 109
 
0.2%
4 57
 
0.1%
8 39
 
0.1%
6 38
 
0.1%
5 35
 
0.1%
7 33
 
< 0.1%
9 32
 
< 0.1%
Other values (195) 1853
 
2.6%
ValueCountFrequency (%)
0 67211
96.0%
1 390
 
0.6%
2 203
 
0.3%
3 109
 
0.2%
4 57
 
0.1%
ValueCountFrequency (%)
247 1
< 0.1%
245 1
< 0.1%
233 1
< 0.1%
231 1
< 0.1%
223 2
< 0.1%

673
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.005957143
Minimum0
Maximum255
Zeros65045
Zeros (%)92.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:09.843779image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile32
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation33.07348536
Coefficient of variation (CV)4.720766155
Kurtosis28.3352317
Mean7.005957143
Median Absolute Deviation (MAD)0
Skewness5.276428627
Sum490417
Variance1093.855434
MonotonicityNot monotonic
2025-03-23T12:52:09.999986image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65045
92.9%
1 310
 
0.4%
2 178
 
0.3%
3 150
 
0.2%
5 96
 
0.1%
4 89
 
0.1%
255 84
 
0.1%
7 46
 
0.1%
6 46
 
0.1%
11 32
 
< 0.1%
Other values (246) 3924
 
5.6%
ValueCountFrequency (%)
0 65045
92.9%
1 310
 
0.4%
2 178
 
0.3%
3 150
 
0.2%
4 89
 
0.1%
ValueCountFrequency (%)
255 84
0.1%
254 6
 
< 0.1%
253 9
 
< 0.1%
252 4
 
< 0.1%
251 8
 
< 0.1%

674
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.45837143
Minimum0
Maximum255
Zeros62447
Zeros (%)89.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:10.140578image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile127
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation43.87607741
Coefficient of variation (CV)3.521814842
Kurtosis13.20281922
Mean12.45837143
Median Absolute Deviation (MAD)0
Skewness3.736435227
Sum872086
Variance1925.110169
MonotonicityNot monotonic
2025-03-23T12:52:10.296784image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62447
89.2%
1 345
 
0.5%
2 150
 
0.2%
3 115
 
0.2%
4 80
 
0.1%
255 76
 
0.1%
5 56
 
0.1%
7 49
 
0.1%
6 48
 
0.1%
188 45
 
0.1%
Other values (246) 6589
 
9.4%
ValueCountFrequency (%)
0 62447
89.2%
1 345
 
0.5%
2 150
 
0.2%
3 115
 
0.2%
4 80
 
0.1%
ValueCountFrequency (%)
255 76
0.1%
254 7
 
< 0.1%
253 6
 
< 0.1%
252 12
 
< 0.1%
251 12
 
< 0.1%

675
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.8256
Minimum0
Maximum255
Zeros56297
Zeros (%)80.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:10.452962image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile185
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation58.36714385
Coefficient of variation (CV)2.44976596
Kurtosis4.651301303
Mean23.8256
Median Absolute Deviation (MAD)0
Skewness2.42993157
Sum1667792
Variance3406.723481
MonotonicityNot monotonic
2025-03-23T12:52:10.609215image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56297
80.4%
1 502
 
0.7%
2 250
 
0.4%
3 167
 
0.2%
4 117
 
0.2%
255 112
 
0.2%
5 83
 
0.1%
202 75
 
0.1%
182 75
 
0.1%
75 74
 
0.1%
Other values (246) 12248
 
17.5%
ValueCountFrequency (%)
0 56297
80.4%
1 502
 
0.7%
2 250
 
0.4%
3 167
 
0.2%
4 117
 
0.2%
ValueCountFrequency (%)
255 112
0.2%
254 14
 
< 0.1%
253 11
 
< 0.1%
252 19
 
< 0.1%
251 18
 
< 0.1%

676
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.14488571
Minimum0
Maximum255
Zeros45761
Zeros (%)65.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:10.749767image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q373
95-th percentile215
Maximum255
Range255
Interquartile range (IQR)73

Descriptive statistics

Standard deviation75.33900683
Coefficient of variation (CV)1.706630465
Kurtosis0.519296063
Mean44.14488571
Median Absolute Deviation (MAD)0
Skewness1.434446029
Sum3090142
Variance5675.965951
MonotonicityNot monotonic
2025-03-23T12:52:10.906018image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45761
65.4%
1 836
 
1.2%
2 580
 
0.8%
3 379
 
0.5%
4 258
 
0.4%
255 214
 
0.3%
5 169
 
0.2%
196 140
 
0.2%
194 137
 
0.2%
219 135
 
0.2%
Other values (246) 21391
30.6%
ValueCountFrequency (%)
0 45761
65.4%
1 836
 
1.2%
2 580
 
0.8%
3 379
 
0.5%
4 258
 
0.4%
ValueCountFrequency (%)
255 214
0.3%
254 37
 
0.1%
253 29
 
< 0.1%
252 21
 
< 0.1%
251 43
 
0.1%

677
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.80912857
Minimum0
Maximum255
Zeros40790
Zeros (%)58.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:11.452764image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3131
95-th percentile231
Maximum255
Range255
Interquartile range (IQR)131

Descriptive statistics

Standard deviation87.25762109
Coefficient of variation (CV)1.4837428
Kurtosis-0.5984795632
Mean58.80912857
Median Absolute Deviation (MAD)0
Skewness1.049325323
Sum4116639
Variance7613.892438
MonotonicityNot monotonic
2025-03-23T12:52:11.593358image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40790
58.3%
1 1017
 
1.5%
2 758
 
1.1%
3 638
 
0.9%
255 442
 
0.6%
4 436
 
0.6%
5 299
 
0.4%
219 248
 
0.4%
215 235
 
0.3%
224 231
 
0.3%
Other values (246) 24906
35.6%
ValueCountFrequency (%)
0 40790
58.3%
1 1017
 
1.5%
2 758
 
1.1%
3 638
 
0.9%
4 436
 
0.6%
ValueCountFrequency (%)
255 442
0.6%
254 114
 
0.2%
253 76
 
0.1%
252 62
 
0.1%
251 71
 
0.1%

678
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.3788
Minimum0
Maximum255
Zeros39071
Zeros (%)55.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:11.780815image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3145
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)145

Descriptive statistics

Standard deviation88.89008021
Coefficient of variation (CV)1.380735276
Kurtosis-0.8309651959
Mean64.3788
Median Absolute Deviation (MAD)0
Skewness0.9201163368
Sum4506516
Variance7901.44636
MonotonicityNot monotonic
2025-03-23T12:52:11.937029image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 39071
55.8%
255 656
 
0.9%
1 532
 
0.8%
2 487
 
0.7%
3 386
 
0.6%
4 256
 
0.4%
213 238
 
0.3%
218 234
 
0.3%
217 228
 
0.3%
216 220
 
0.3%
Other values (246) 27692
39.6%
ValueCountFrequency (%)
0 39071
55.8%
1 532
 
0.8%
2 487
 
0.7%
3 386
 
0.6%
4 256
 
0.4%
ValueCountFrequency (%)
255 656
0.9%
254 131
 
0.2%
253 87
 
0.1%
252 103
 
0.1%
251 92
 
0.1%

679
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.39622857
Minimum0
Maximum255
Zeros36154
Zeros (%)51.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:12.077617image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3135
95-th percentile228
Maximum255
Range255
Interquartile range (IQR)135

Descriptive statistics

Standard deviation84.82834483
Coefficient of variation (CV)1.317287467
Kurtosis-0.7587659465
Mean64.39622857
Median Absolute Deviation (MAD)0
Skewness0.907048275
Sum4507736
Variance7195.848086
MonotonicityNot monotonic
2025-03-23T12:52:12.233835image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36154
51.6%
255 532
 
0.8%
1 408
 
0.6%
2 334
 
0.5%
3 276
 
0.4%
219 219
 
0.3%
4 215
 
0.3%
204 214
 
0.3%
211 205
 
0.3%
213 204
 
0.3%
Other values (246) 31239
44.6%
ValueCountFrequency (%)
0 36154
51.6%
1 408
 
0.6%
2 334
 
0.5%
3 276
 
0.4%
4 215
 
0.3%
ValueCountFrequency (%)
255 532
0.8%
254 87
 
0.1%
253 66
 
0.1%
252 65
 
0.1%
251 53
 
0.1%

680
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.82792857
Minimum0
Maximum255
Zeros30608
Zeros (%)43.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:12.384358image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median45
Q3178
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)178

Descriptive statistics

Standard deviation92.20345995
Coefficient of variation (CV)1.08694697
Kurtosis-1.418533509
Mean84.82792857
Median Absolute Deviation (MAD)45
Skewness0.4731583711
Sum5937955
Variance8501.478027
MonotonicityNot monotonic
2025-03-23T12:52:12.524903image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30608
43.7%
255 986
 
1.4%
216 310
 
0.4%
214 301
 
0.4%
227 296
 
0.4%
219 291
 
0.4%
2 287
 
0.4%
218 287
 
0.4%
212 286
 
0.4%
211 285
 
0.4%
Other values (246) 36063
51.5%
ValueCountFrequency (%)
0 30608
43.7%
1 263
 
0.4%
2 287
 
0.4%
3 222
 
0.3%
4 141
 
0.2%
ValueCountFrequency (%)
255 986
1.4%
254 135
 
0.2%
253 110
 
0.2%
252 99
 
0.1%
251 99
 
0.1%

681
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.7258571
Minimum0
Maximum255
Zeros25492
Zeros (%)36.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:12.681161image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median96
Q3196
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)196

Descriptive statistics

Standard deviation94.17863898
Coefficient of variation (CV)0.9349996282
Kurtosis-1.627595156
Mean100.7258571
Median Absolute Deviation (MAD)96
Skewness0.1674661528
Sum7050810
Variance8869.61604
MonotonicityNot monotonic
2025-03-23T12:52:12.821747image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25492
36.4%
255 866
 
1.2%
220 414
 
0.6%
218 411
 
0.6%
216 402
 
0.6%
215 400
 
0.6%
225 395
 
0.6%
211 383
 
0.5%
222 382
 
0.5%
219 381
 
0.5%
Other values (246) 40474
57.8%
ValueCountFrequency (%)
0 25492
36.4%
1 348
 
0.5%
2 297
 
0.4%
3 247
 
0.4%
4 171
 
0.2%
ValueCountFrequency (%)
255 866
1.2%
254 145
 
0.2%
253 107
 
0.2%
252 103
 
0.1%
251 100
 
0.1%

682
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.8793714
Minimum0
Maximum255
Zeros21737
Zeros (%)31.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:12.977959image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median125
Q3203
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)203

Descriptive statistics

Standard deviation92.8706394
Coefficient of variation (CV)0.830096185
Kurtosis-1.630745043
Mean111.8793714
Median Absolute Deviation (MAD)94
Skewness-0.04855075937
Sum7831556
Variance8624.955662
MonotonicityNot monotonic
2025-03-23T12:52:13.118551image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21737
31.1%
255 498
 
0.7%
219 479
 
0.7%
220 473
 
0.7%
216 468
 
0.7%
225 468
 
0.7%
223 467
 
0.7%
226 460
 
0.7%
214 454
 
0.6%
218 450
 
0.6%
Other values (246) 44046
62.9%
ValueCountFrequency (%)
0 21737
31.1%
1 241
 
0.3%
2 181
 
0.3%
3 162
 
0.2%
4 125
 
0.2%
ValueCountFrequency (%)
255 498
0.7%
254 105
 
0.1%
253 76
 
0.1%
252 107
 
0.2%
251 92
 
0.1%

683
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.5636
Minimum0
Maximum255
Zeros20679
Zeros (%)29.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:13.259143image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median140
Q3208
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)208

Descriptive statistics

Standard deviation93.6922864
Coefficient of variation (CV)0.7902280835
Kurtosis-1.616086957
Mean118.5636
Median Absolute Deviation (MAD)83
Skewness-0.1593062465
Sum8299452
Variance8778.24453
MonotonicityNot monotonic
2025-03-23T12:52:13.415319image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20679
29.5%
222 532
 
0.8%
226 527
 
0.8%
225 526
 
0.8%
223 522
 
0.7%
231 521
 
0.7%
218 518
 
0.7%
227 511
 
0.7%
230 506
 
0.7%
220 502
 
0.7%
Other values (246) 44656
63.8%
ValueCountFrequency (%)
0 20679
29.5%
1 183
 
0.3%
2 148
 
0.2%
3 127
 
0.2%
4 103
 
0.1%
ValueCountFrequency (%)
255 486
0.7%
254 131
 
0.2%
253 111
 
0.2%
252 114
 
0.2%
251 111
 
0.2%

684
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.9172857
Minimum0
Maximum255
Zeros20948
Zeros (%)29.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:13.602775image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median135
Q3208
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)208

Descriptive statistics

Standard deviation94.03302576
Coefficient of variation (CV)0.8042696611
Kurtosis-1.628031911
Mean116.9172857
Median Absolute Deviation (MAD)88
Skewness-0.117998484
Sum8184210
Variance8842.209933
MonotonicityNot monotonic
2025-03-23T12:52:13.790231image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20948
29.9%
255 624
 
0.9%
222 512
 
0.7%
232 511
 
0.7%
227 509
 
0.7%
223 505
 
0.7%
231 502
 
0.7%
230 500
 
0.7%
226 495
 
0.7%
225 493
 
0.7%
Other values (246) 44401
63.4%
ValueCountFrequency (%)
0 20948
29.9%
1 194
 
0.3%
2 132
 
0.2%
3 126
 
0.2%
4 103
 
0.1%
ValueCountFrequency (%)
255 624
0.9%
254 148
 
0.2%
253 123
 
0.2%
252 103
 
0.1%
251 95
 
0.1%

685
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.7079714
Minimum0
Maximum255
Zeros23848
Zeros (%)34.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:13.946482image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median110
Q3202
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)202

Descriptive statistics

Standard deviation94.49039489
Coefficient of variation (CV)0.8855045562
Kurtosis-1.66027104
Mean106.7079714
Median Absolute Deviation (MAD)109
Skewness0.06065923825
Sum7469558
Variance8928.434726
MonotonicityNot monotonic
2025-03-23T12:52:14.087073image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23848
34.1%
255 565
 
0.8%
230 473
 
0.7%
222 463
 
0.7%
229 460
 
0.7%
225 460
 
0.7%
220 457
 
0.7%
223 456
 
0.7%
224 450
 
0.6%
232 440
 
0.6%
Other values (246) 41928
59.9%
ValueCountFrequency (%)
0 23848
34.1%
1 227
 
0.3%
2 180
 
0.3%
3 161
 
0.2%
4 130
 
0.2%
ValueCountFrequency (%)
255 565
0.8%
254 123
 
0.2%
253 84
 
0.1%
252 92
 
0.1%
251 95
 
0.1%

686
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.44171429
Minimum0
Maximum255
Zeros27125
Zeros (%)38.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:14.243290image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median88
Q3197
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)197

Descriptive statistics

Standard deviation94.83368733
Coefficient of variation (CV)0.9633485968
Kurtosis-1.653044309
Mean98.44171429
Median Absolute Deviation (MAD)88
Skewness0.1981866441
Sum6890920
Variance8993.428252
MonotonicityNot monotonic
2025-03-23T12:52:14.399465image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27125
38.8%
223 441
 
0.6%
226 427
 
0.6%
227 426
 
0.6%
222 425
 
0.6%
221 413
 
0.6%
219 409
 
0.6%
231 409
 
0.6%
225 407
 
0.6%
218 404
 
0.6%
Other values (246) 39114
55.9%
ValueCountFrequency (%)
0 27125
38.8%
1 300
 
0.4%
2 235
 
0.3%
3 194
 
0.3%
4 173
 
0.2%
ValueCountFrequency (%)
255 388
0.6%
254 100
 
0.1%
253 76
 
0.1%
252 82
 
0.1%
251 69
 
0.1%

687
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.2891143
Minimum0
Maximum255
Zeros24956
Zeros (%)35.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:14.540089image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median102
Q3200
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)200

Descriptive statistics

Standard deviation94.58783883
Coefficient of variation (CV)0.9157580591
Kurtosis-1.655574492
Mean103.2891143
Median Absolute Deviation (MAD)102
Skewness0.1203949817
Sum7230238
Variance8946.859254
MonotonicityNot monotonic
2025-03-23T12:52:14.696308image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24956
35.7%
255 584
 
0.8%
222 487
 
0.7%
221 459
 
0.7%
226 449
 
0.6%
229 429
 
0.6%
227 428
 
0.6%
218 427
 
0.6%
230 426
 
0.6%
224 422
 
0.6%
Other values (246) 40933
58.5%
ValueCountFrequency (%)
0 24956
35.7%
1 303
 
0.4%
2 193
 
0.3%
3 200
 
0.3%
4 161
 
0.2%
ValueCountFrequency (%)
255 584
0.8%
254 126
 
0.2%
253 112
 
0.2%
252 79
 
0.1%
251 82
 
0.1%

688
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.7947714
Minimum0
Maximum255
Zeros23395
Zeros (%)33.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:14.836901image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median118
Q3204
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)204

Descriptive statistics

Standard deviation95.33849958
Coefficient of variation (CV)0.8763150869
Kurtosis-1.683093859
Mean108.7947714
Median Absolute Deviation (MAD)105
Skewness0.01712958809
Sum7615634
Variance9089.429502
MonotonicityNot monotonic
2025-03-23T12:52:14.993113image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23395
33.4%
222 501
 
0.7%
219 494
 
0.7%
226 481
 
0.7%
255 478
 
0.7%
221 477
 
0.7%
227 477
 
0.7%
216 476
 
0.7%
231 457
 
0.7%
1 454
 
0.6%
Other values (246) 42310
60.4%
ValueCountFrequency (%)
0 23395
33.4%
1 454
 
0.6%
2 325
 
0.5%
3 268
 
0.4%
4 249
 
0.4%
ValueCountFrequency (%)
255 478
0.7%
254 153
 
0.2%
253 118
 
0.2%
252 98
 
0.1%
251 101
 
0.1%

689
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.0241571
Minimum0
Maximum255
Zeros23774
Zeros (%)34.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:15.133702image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median112
Q3202
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)202

Descriptive statistics

Standard deviation94.86435108
Coefficient of variation (CV)0.8947427986
Kurtosis-1.682562225
Mean106.0241571
Median Absolute Deviation (MAD)109
Skewness0.05518535281
Sum7421691
Variance8999.245106
MonotonicityNot monotonic
2025-03-23T12:52:15.289916image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23774
34.0%
1 676
 
1.0%
222 494
 
0.7%
227 491
 
0.7%
224 467
 
0.7%
2 446
 
0.6%
218 444
 
0.6%
221 437
 
0.6%
226 435
 
0.6%
216 435
 
0.6%
Other values (246) 41901
59.9%
ValueCountFrequency (%)
0 23774
34.0%
1 676
 
1.0%
2 446
 
0.6%
3 344
 
0.5%
4 250
 
0.4%
ValueCountFrequency (%)
255 345
0.5%
254 116
 
0.2%
253 85
 
0.1%
252 84
 
0.1%
251 102
 
0.1%

690
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.18008571
Minimum0
Maximum255
Zeros26095
Zeros (%)37.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:15.430468image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median84
Q3192
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)192

Descriptive statistics

Standard deviation92.99659058
Coefficient of variation (CV)0.9669006832
Kurtosis-1.614670963
Mean96.18008571
Median Absolute Deviation (MAD)84
Skewness0.2286075017
Sum6732606
Variance8648.36586
MonotonicityNot monotonic
2025-03-23T12:52:15.586723image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26095
37.3%
1 573
 
0.8%
255 442
 
0.6%
2 436
 
0.6%
218 414
 
0.6%
216 397
 
0.6%
227 390
 
0.6%
222 387
 
0.6%
219 385
 
0.5%
224 384
 
0.5%
Other values (246) 40097
57.3%
ValueCountFrequency (%)
0 26095
37.3%
1 573
 
0.8%
2 436
 
0.6%
3 327
 
0.5%
4 248
 
0.4%
ValueCountFrequency (%)
255 442
0.6%
254 105
 
0.1%
253 56
 
0.1%
252 87
 
0.1%
251 78
 
0.1%

691
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.57297143
Minimum0
Maximum255
Zeros30475
Zeros (%)43.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:15.727315image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median38
Q3179
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)179

Descriptive statistics

Standard deviation92.27607708
Coefficient of variation (CV)1.104137803
Kurtosis-1.417094686
Mean83.57297143
Median Absolute Deviation (MAD)38
Skewness0.4937508318
Sum5850108
Variance8514.874402
MonotonicityNot monotonic
2025-03-23T12:52:15.867865image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30475
43.5%
255 894
 
1.3%
1 680
 
1.0%
2 449
 
0.6%
3 333
 
0.5%
219 327
 
0.5%
214 316
 
0.5%
223 314
 
0.4%
215 308
 
0.4%
222 306
 
0.4%
Other values (246) 35598
50.9%
ValueCountFrequency (%)
0 30475
43.5%
1 680
 
1.0%
2 449
 
0.6%
3 333
 
0.5%
4 226
 
0.3%
ValueCountFrequency (%)
255 894
1.3%
254 140
 
0.2%
253 99
 
0.1%
252 89
 
0.1%
251 85
 
0.1%

692
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.32404286
Minimum0
Maximum255
Zeros36009
Zeros (%)51.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:16.024122image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3136
95-th percentile226
Maximum255
Range255
Interquartile range (IQR)136

Descriptive statistics

Standard deviation84.59082172
Coefficient of variation (CV)1.315073151
Kurtosis-0.7935829059
Mean64.32404286
Median Absolute Deviation (MAD)0
Skewness0.8936888644
Sum4502683
Variance7155.607119
MonotonicityNot monotonic
2025-03-23T12:52:16.164670image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36009
51.4%
1 513
 
0.7%
255 478
 
0.7%
2 441
 
0.6%
3 310
 
0.4%
4 242
 
0.3%
225 234
 
0.3%
223 220
 
0.3%
216 213
 
0.3%
217 212
 
0.3%
Other values (246) 31128
44.5%
ValueCountFrequency (%)
0 36009
51.4%
1 513
 
0.7%
2 441
 
0.6%
3 310
 
0.4%
4 242
 
0.3%
ValueCountFrequency (%)
255 478
0.7%
254 67
 
0.1%
253 44
 
0.1%
252 57
 
0.1%
251 42
 
0.1%

693
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.09257143
Minimum0
Maximum255
Zeros38972
Zeros (%)55.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:16.305298image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3124
95-th percentile226
Maximum255
Range255
Interquartile range (IQR)124

Descriptive statistics

Standard deviation84.15390696
Coefficient of variation (CV)1.424102978
Kurtosis-0.5513299253
Mean59.09257143
Median Absolute Deviation (MAD)0
Skewness1.033362988
Sum4136480
Variance7081.880057
MonotonicityNot monotonic
2025-03-23T12:52:16.461516image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 38972
55.7%
1 657
 
0.9%
2 497
 
0.7%
3 414
 
0.6%
255 400
 
0.6%
4 282
 
0.4%
223 217
 
0.3%
216 212
 
0.3%
217 212
 
0.3%
219 209
 
0.3%
Other values (246) 27928
39.9%
ValueCountFrequency (%)
0 38972
55.7%
1 657
 
0.9%
2 497
 
0.7%
3 414
 
0.6%
4 282
 
0.4%
ValueCountFrequency (%)
255 400
0.6%
254 95
 
0.1%
253 64
 
0.1%
252 50
 
0.1%
251 54
 
0.1%

694
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.40347143
Minimum0
Maximum255
Zeros40560
Zeros (%)57.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:16.602108image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3141
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)141

Descriptive statistics

Standard deviation88.9741473
Coefficient of variation (CV)1.449008423
Kurtosis-0.7315738206
Mean61.40347143
Median Absolute Deviation (MAD)0
Skewness0.9897715073
Sum4298243
Variance7916.398888
MonotonicityNot monotonic
2025-03-23T12:52:16.742703image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40560
57.9%
1 751
 
1.1%
2 657
 
0.9%
3 525
 
0.8%
255 507
 
0.7%
4 367
 
0.5%
5 302
 
0.4%
224 243
 
0.3%
226 242
 
0.3%
214 236
 
0.3%
Other values (246) 25610
36.6%
ValueCountFrequency (%)
0 40560
57.9%
1 751
 
1.1%
2 657
 
0.9%
3 525
 
0.8%
4 367
 
0.5%
ValueCountFrequency (%)
255 507
0.7%
254 163
 
0.2%
253 95
 
0.1%
252 86
 
0.1%
251 78
 
0.1%

695
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.14245714
Minimum0
Maximum255
Zeros42463
Zeros (%)60.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:16.883288image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3107
95-th percentile223
Maximum255
Range255
Interquartile range (IQR)107

Descriptive statistics

Standard deviation81.63005337
Coefficient of variation (CV)1.565519882
Kurtosis-0.2173706218
Mean52.14245714
Median Absolute Deviation (MAD)0
Skewness1.192347545
Sum3649972
Variance6663.465613
MonotonicityNot monotonic
2025-03-23T12:52:17.431832image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42463
60.7%
1 1113
 
1.6%
2 762
 
1.1%
3 606
 
0.9%
4 443
 
0.6%
5 285
 
0.4%
255 233
 
0.3%
219 189
 
0.3%
202 186
 
0.3%
6 184
 
0.3%
Other values (246) 23536
33.6%
ValueCountFrequency (%)
0 42463
60.7%
1 1113
 
1.6%
2 762
 
1.1%
3 606
 
0.9%
4 443
 
0.6%
ValueCountFrequency (%)
255 233
0.3%
254 67
 
0.1%
253 37
 
0.1%
252 40
 
0.1%
251 39
 
0.1%

696
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.49531429
Minimum0
Maximum255
Zeros50456
Zeros (%)72.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:17.572428image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310.25
95-th percentile203
Maximum255
Range255
Interquartile range (IQR)10.25

Descriptive statistics

Standard deviation67.85698901
Coefficient of variation (CV)1.967136419
Kurtosis1.790931327
Mean34.49531429
Median Absolute Deviation (MAD)0
Skewness1.798780187
Sum2414672
Variance4604.570958
MonotonicityNot monotonic
2025-03-23T12:52:17.728603image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 50456
72.1%
1 672
 
1.0%
2 409
 
0.6%
3 310
 
0.4%
4 182
 
0.3%
5 150
 
0.2%
255 134
 
0.2%
199 114
 
0.2%
6 110
 
0.2%
204 108
 
0.2%
Other values (246) 17355
 
24.8%
ValueCountFrequency (%)
0 50456
72.1%
1 672
 
1.0%
2 409
 
0.6%
3 310
 
0.4%
4 182
 
0.3%
ValueCountFrequency (%)
255 134
0.2%
254 25
 
< 0.1%
253 22
 
< 0.1%
252 20
 
< 0.1%
251 21
 
< 0.1%

697
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.62695714
Minimum0
Maximum255
Zeros59342
Zeros (%)84.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:17.869233image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile182
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation55.08495907
Coefficient of variation (CV)2.806597002
Kurtosis6.639771252
Mean19.62695714
Median Absolute Deviation (MAD)0
Skewness2.812468858
Sum1373887
Variance3034.352715
MonotonicityNot monotonic
2025-03-23T12:52:18.025445image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59342
84.8%
1 358
 
0.5%
2 194
 
0.3%
3 116
 
0.2%
4 97
 
0.1%
255 93
 
0.1%
200 76
 
0.1%
203 73
 
0.1%
199 73
 
0.1%
5 73
 
0.1%
Other values (246) 9505
 
13.6%
ValueCountFrequency (%)
0 59342
84.8%
1 358
 
0.5%
2 194
 
0.3%
3 116
 
0.2%
4 97
 
0.1%
ValueCountFrequency (%)
255 93
0.1%
254 18
 
< 0.1%
253 13
 
< 0.1%
252 21
 
< 0.1%
251 19
 
< 0.1%

698
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.25492857
Minimum0
Maximum255
Zeros63158
Zeros (%)90.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:18.166040image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile105
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation43.0448684
Coefficient of variation (CV)3.824535013
Kurtosis16.5355601
Mean11.25492857
Median Absolute Deviation (MAD)0
Skewness4.134032326
Sum787845
Variance1852.860695
MonotonicityNot monotonic
2025-03-23T12:52:18.322250image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63158
90.2%
1 340
 
0.5%
255 268
 
0.4%
2 168
 
0.2%
3 132
 
0.2%
4 101
 
0.1%
5 73
 
0.1%
7 49
 
0.1%
8 49
 
0.1%
6 47
 
0.1%
Other values (246) 5615
 
8.0%
ValueCountFrequency (%)
0 63158
90.2%
1 340
 
0.5%
2 168
 
0.2%
3 132
 
0.2%
4 101
 
0.1%
ValueCountFrequency (%)
255 268
0.4%
254 19
 
< 0.1%
253 18
 
< 0.1%
252 17
 
< 0.1%
251 12
 
< 0.1%

699
Real number (ℝ)

Zeros 

Distinct209
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3073
Minimum0
Maximum239
Zeros67063
Zeros (%)95.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:18.462848image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum239
Range239
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.32065431
Coefficient of variation (CV)6.640079014
Kurtosis74.52651478
Mean2.3073
Median Absolute Deviation (MAD)0
Skewness8.188862881
Sum161511
Variance234.7224485
MonotonicityNot monotonic
2025-03-23T12:52:18.619056image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67063
95.8%
1 275
 
0.4%
2 146
 
0.2%
3 89
 
0.1%
4 70
 
0.1%
5 60
 
0.1%
6 35
 
0.1%
21 33
 
< 0.1%
22 32
 
< 0.1%
11 30
 
< 0.1%
Other values (199) 2167
 
3.1%
ValueCountFrequency (%)
0 67063
95.8%
1 275
 
0.4%
2 146
 
0.2%
3 89
 
0.1%
4 70
 
0.1%
ValueCountFrequency (%)
239 1
< 0.1%
226 1
< 0.1%
223 1
< 0.1%
220 1
< 0.1%
215 2
< 0.1%

700
Real number (ℝ)

Zeros 

Distinct183
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9508
Minimum0
Maximum227
Zeros68417
Zeros (%)97.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:18.776417image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum227
Range227
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.399584267
Coefficient of variation (CV)9.885974197
Kurtosis179.907889
Mean0.9508
Median Absolute Deviation (MAD)0
Skewness12.5173093
Sum66556
Variance88.35218439
MonotonicityNot monotonic
2025-03-23T12:52:18.909822image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68417
97.7%
1 302
 
0.4%
2 124
 
0.2%
3 70
 
0.1%
4 39
 
0.1%
5 28
 
< 0.1%
6 22
 
< 0.1%
36 18
 
< 0.1%
14 16
 
< 0.1%
24 16
 
< 0.1%
Other values (173) 948
 
1.4%
ValueCountFrequency (%)
0 68417
97.7%
1 302
 
0.4%
2 124
 
0.2%
3 70
 
0.1%
4 39
 
0.1%
ValueCountFrequency (%)
227 1
< 0.1%
217 1
< 0.1%
211 1
< 0.1%
200 1
< 0.1%
198 1
< 0.1%

701
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.985485714
Minimum0
Maximum255
Zeros66865
Zeros (%)95.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:19.066080image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation24.5364904
Coefficient of variation (CV)6.156461762
Kurtosis53.07700539
Mean3.985485714
Median Absolute Deviation (MAD)0
Skewness7.086944084
Sum278984
Variance602.0393613
MonotonicityNot monotonic
2025-03-23T12:52:19.222290image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66865
95.5%
1 282
 
0.4%
2 141
 
0.2%
3 89
 
0.1%
255 56
 
0.1%
4 53
 
0.1%
5 35
 
0.1%
6 32
 
< 0.1%
7 29
 
< 0.1%
37 24
 
< 0.1%
Other values (246) 2394
 
3.4%
ValueCountFrequency (%)
0 66865
95.5%
1 282
 
0.4%
2 141
 
0.2%
3 89
 
0.1%
4 53
 
0.1%
ValueCountFrequency (%)
255 56
0.1%
254 5
 
< 0.1%
253 3
 
< 0.1%
252 2
 
< 0.1%
251 3
 
< 0.1%

702
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.517457143
Minimum0
Maximum255
Zeros64505
Zeros (%)92.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:19.362881image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile70
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation36.25188406
Coefficient of variation (CV)4.25618626
Kurtosis21.64697678
Mean8.517457143
Median Absolute Deviation (MAD)0
Skewness4.657138301
Sum596222
Variance1314.199098
MonotonicityNot monotonic
2025-03-23T12:52:19.519094image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64505
92.2%
1 318
 
0.5%
2 155
 
0.2%
3 95
 
0.1%
4 69
 
0.1%
255 64
 
0.1%
6 49
 
0.1%
5 48
 
0.1%
86 37
 
0.1%
159 36
 
0.1%
Other values (246) 4624
 
6.6%
ValueCountFrequency (%)
0 64505
92.2%
1 318
 
0.5%
2 155
 
0.2%
3 95
 
0.1%
4 69
 
0.1%
ValueCountFrequency (%)
255 64
0.1%
254 7
 
< 0.1%
253 7
 
< 0.1%
252 7
 
< 0.1%
251 3
 
< 0.1%

703
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.70941429
Minimum0
Maximum255
Zeros58656
Zeros (%)83.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:19.659645image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile163
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation51.95311806
Coefficient of variation (CV)2.77684364
Kurtosis7.244399427
Mean18.70941429
Median Absolute Deviation (MAD)0
Skewness2.872873441
Sum1309659
Variance2699.126476
MonotonicityNot monotonic
2025-03-23T12:52:19.815898image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 58656
83.8%
1 490
 
0.7%
2 242
 
0.3%
3 159
 
0.2%
4 122
 
0.2%
5 95
 
0.1%
255 85
 
0.1%
77 70
 
0.1%
73 64
 
0.1%
70 61
 
0.1%
Other values (246) 9956
 
14.2%
ValueCountFrequency (%)
0 58656
83.8%
1 490
 
0.7%
2 242
 
0.3%
3 159
 
0.2%
4 122
 
0.2%
ValueCountFrequency (%)
255 85
0.1%
254 13
 
< 0.1%
253 16
 
< 0.1%
252 20
 
< 0.1%
251 9
 
< 0.1%

704
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.94168571
Minimum0
Maximum255
Zeros48352
Zeros (%)69.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:19.956494image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q337
95-th percentile209
Maximum255
Range255
Interquartile range (IQR)37

Descriptive statistics

Standard deviation70.98474774
Coefficient of variation (CV)1.870890721
Kurtosis1.314278643
Mean37.94168571
Median Absolute Deviation (MAD)0
Skewness1.670333656
Sum2655918
Variance5038.834411
MonotonicityNot monotonic
2025-03-23T12:52:20.112704image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 48352
69.1%
1 863
 
1.2%
2 566
 
0.8%
3 399
 
0.6%
4 272
 
0.4%
255 204
 
0.3%
5 195
 
0.3%
6 157
 
0.2%
205 118
 
0.2%
190 113
 
0.2%
Other values (246) 18761
 
26.8%
ValueCountFrequency (%)
0 48352
69.1%
1 863
 
1.2%
2 566
 
0.8%
3 399
 
0.6%
4 272
 
0.4%
ValueCountFrequency (%)
255 204
0.3%
254 46
 
0.1%
253 14
 
< 0.1%
252 26
 
< 0.1%
251 31
 
< 0.1%

705
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.31961429
Minimum0
Maximum255
Zeros43576
Zeros (%)62.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:20.253292image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3103
95-th percentile229
Maximum255
Range255
Interquartile range (IQR)103

Descriptive statistics

Standard deviation84.22397503
Coefficient of variation (CV)1.609797323
Kurtosis-0.16885604
Mean52.31961429
Median Absolute Deviation (MAD)0
Skewness1.229838901
Sum3662373
Variance7093.677971
MonotonicityNot monotonic
2025-03-23T12:52:20.409469image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43576
62.3%
1 972
 
1.4%
2 688
 
1.0%
3 615
 
0.9%
255 466
 
0.7%
4 441
 
0.6%
5 308
 
0.4%
6 255
 
0.4%
204 196
 
0.3%
217 193
 
0.3%
Other values (246) 22290
31.8%
ValueCountFrequency (%)
0 43576
62.3%
1 972
 
1.4%
2 688
 
1.0%
3 615
 
0.9%
4 441
 
0.6%
ValueCountFrequency (%)
255 466
0.7%
254 115
 
0.2%
253 52
 
0.1%
252 67
 
0.1%
251 69
 
0.1%

706
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.54344286
Minimum0
Maximum255
Zeros42019
Zeros (%)60.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:20.550097image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3121
95-th percentile229
Maximum255
Range255
Interquartile range (IQR)121

Descriptive statistics

Standard deviation85.11395909
Coefficient of variation (CV)1.505284341
Kurtosis-0.4354447576
Mean56.54344286
Median Absolute Deviation (MAD)0
Skewness1.106170004
Sum3958041
Variance7244.386033
MonotonicityNot monotonic
2025-03-23T12:52:20.690691image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42019
60.0%
1 584
 
0.8%
255 519
 
0.7%
2 422
 
0.6%
3 378
 
0.5%
4 269
 
0.4%
5 215
 
0.3%
214 199
 
0.3%
217 195
 
0.3%
219 193
 
0.3%
Other values (246) 25007
35.7%
ValueCountFrequency (%)
0 42019
60.0%
1 584
 
0.8%
2 422
 
0.6%
3 378
 
0.5%
4 269
 
0.4%
ValueCountFrequency (%)
255 519
0.7%
254 83
 
0.1%
253 76
 
0.1%
252 82
 
0.1%
251 70
 
0.1%

707
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.83878571
Minimum0
Maximum255
Zeros40088
Zeros (%)57.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:20.831284image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3108
95-th percentile223
Maximum255
Range255
Interquartile range (IQR)108

Descriptive statistics

Standard deviation80.79527352
Coefficient of variation (CV)1.473323533
Kurtosis-0.2512758001
Mean54.83878571
Median Absolute Deviation (MAD)0
Skewness1.14350228
Sum3838715
Variance6527.876222
MonotonicityNot monotonic
2025-03-23T12:52:20.987501image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40088
57.3%
255 445
 
0.6%
1 417
 
0.6%
2 352
 
0.5%
3 314
 
0.4%
4 214
 
0.3%
5 193
 
0.3%
205 183
 
0.3%
219 178
 
0.3%
210 173
 
0.2%
Other values (246) 27443
39.2%
ValueCountFrequency (%)
0 40088
57.3%
1 417
 
0.6%
2 352
 
0.5%
3 314
 
0.4%
4 214
 
0.3%
ValueCountFrequency (%)
255 445
0.6%
254 45
 
0.1%
253 37
 
0.1%
252 44
 
0.1%
251 46
 
0.1%

708
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.07021429
Minimum0
Maximum255
Zeros35228
Zeros (%)50.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:21.128088image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3161.25
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)161.25

Descriptive statistics

Standard deviation90.21158589
Coefficient of variation (CV)1.234587674
Kurtosis-1.150443425
Mean73.07021429
Median Absolute Deviation (MAD)0
Skewness0.7100358595
Sum5114915
Variance8138.130229
MonotonicityNot monotonic
2025-03-23T12:52:21.268678image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35228
50.3%
255 857
 
1.2%
1 401
 
0.6%
2 359
 
0.5%
3 301
 
0.4%
217 257
 
0.4%
225 252
 
0.4%
221 250
 
0.4%
222 244
 
0.3%
219 237
 
0.3%
Other values (246) 31614
45.2%
ValueCountFrequency (%)
0 35228
50.3%
1 401
 
0.6%
2 359
 
0.5%
3 301
 
0.4%
4 213
 
0.3%
ValueCountFrequency (%)
255 857
1.2%
254 107
 
0.2%
253 96
 
0.1%
252 71
 
0.1%
251 92
 
0.1%

709
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.19068571
Minimum0
Maximum255
Zeros29758
Zeros (%)42.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:21.424896image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median52
Q3186
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)186

Descriptive statistics

Standard deviation93.71905935
Coefficient of variation (CV)1.062686593
Kurtosis-1.522807866
Mean88.19068571
Median Absolute Deviation (MAD)52
Skewness0.3966518505
Sum6173348
Variance8783.262086
MonotonicityNot monotonic
2025-03-23T12:52:21.581106image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29758
42.5%
255 719
 
1.0%
1 454
 
0.6%
2 451
 
0.6%
3 416
 
0.6%
219 362
 
0.5%
217 356
 
0.5%
210 342
 
0.5%
227 342
 
0.5%
212 341
 
0.5%
Other values (246) 36459
52.1%
ValueCountFrequency (%)
0 29758
42.5%
1 454
 
0.6%
2 451
 
0.6%
3 416
 
0.6%
4 256
 
0.4%
ValueCountFrequency (%)
255 719
1.0%
254 115
 
0.2%
253 123
 
0.2%
252 94
 
0.1%
251 82
 
0.1%

710
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.64987143
Minimum0
Maximum255
Zeros26295
Zeros (%)37.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:21.721705image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median91
Q3194
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)194

Descriptive statistics

Standard deviation93.55619965
Coefficient of variation (CV)0.9483661589
Kurtosis-1.637615357
Mean98.64987143
Median Absolute Deviation (MAD)91
Skewness0.1817617525
Sum6905491
Variance8752.762492
MonotonicityNot monotonic
2025-03-23T12:52:21.862253image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26295
37.6%
255 446
 
0.6%
219 436
 
0.6%
220 421
 
0.6%
221 399
 
0.6%
210 398
 
0.6%
216 397
 
0.6%
218 393
 
0.6%
222 389
 
0.6%
206 386
 
0.6%
Other values (246) 40040
57.2%
ValueCountFrequency (%)
0 26295
37.6%
1 344
 
0.5%
2 277
 
0.4%
3 207
 
0.3%
4 172
 
0.2%
ValueCountFrequency (%)
255 446
0.6%
254 77
 
0.1%
253 58
 
0.1%
252 86
 
0.1%
251 82
 
0.1%

711
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.7953714
Minimum0
Maximum255
Zeros24969
Zeros (%)35.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:22.018501image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median111
Q3201
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)201

Descriptive statistics

Standard deviation94.91202462
Coefficient of variation (CV)0.8971283274
Kurtosis-1.677540452
Mean105.7953714
Median Absolute Deviation (MAD)110
Skewness0.05989292201
Sum7405676
Variance9008.292417
MonotonicityNot monotonic
2025-03-23T12:52:22.159099image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24969
35.7%
255 505
 
0.7%
223 468
 
0.7%
220 466
 
0.7%
224 463
 
0.7%
213 463
 
0.7%
217 448
 
0.6%
222 445
 
0.6%
229 444
 
0.6%
221 444
 
0.6%
Other values (246) 40885
58.4%
ValueCountFrequency (%)
0 24969
35.7%
1 261
 
0.4%
2 235
 
0.3%
3 188
 
0.3%
4 138
 
0.2%
ValueCountFrequency (%)
255 505
0.7%
254 100
 
0.1%
253 104
 
0.1%
252 76
 
0.1%
251 107
 
0.2%

712
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.3316143
Minimum0
Maximum255
Zeros25208
Zeros (%)36.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:22.299682image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median105
Q3201
95-th percentile237
Maximum255
Range255
Interquartile range (IQR)201

Descriptive statistics

Standard deviation94.92342536
Coefficient of variation (CV)0.9098241794
Kurtosis-1.669986413
Mean104.3316143
Median Absolute Deviation (MAD)105
Skewness0.09400365698
Sum7303213
Variance9010.456681
MonotonicityNot monotonic
2025-03-23T12:52:22.455903image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25208
36.0%
255 547
 
0.8%
221 461
 
0.7%
220 439
 
0.6%
223 439
 
0.6%
217 433
 
0.6%
230 431
 
0.6%
228 426
 
0.6%
222 425
 
0.6%
225 421
 
0.6%
Other values (246) 40770
58.2%
ValueCountFrequency (%)
0 25208
36.0%
1 269
 
0.4%
2 230
 
0.3%
3 189
 
0.3%
4 146
 
0.2%
ValueCountFrequency (%)
255 547
0.8%
254 101
 
0.1%
253 96
 
0.1%
252 101
 
0.1%
251 102
 
0.1%

713
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.69745714
Minimum0
Maximum255
Zeros28012
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:22.596489image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median77
Q3193
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)193

Descriptive statistics

Standard deviation94.19218567
Coefficient of variation (CV)0.9946643607
Kurtosis-1.614890618
Mean94.69745714
Median Absolute Deviation (MAD)77
Skewness0.2666797011
Sum6628822
Variance8872.167842
MonotonicityNot monotonic
2025-03-23T12:52:22.737086image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28012
40.0%
255 483
 
0.7%
218 410
 
0.6%
216 399
 
0.6%
223 397
 
0.6%
221 394
 
0.6%
224 393
 
0.6%
217 384
 
0.5%
229 382
 
0.5%
220 379
 
0.5%
Other values (246) 38367
54.8%
ValueCountFrequency (%)
0 28012
40.0%
1 315
 
0.4%
2 271
 
0.4%
3 254
 
0.4%
4 160
 
0.2%
ValueCountFrequency (%)
255 483
0.7%
254 95
 
0.1%
253 74
 
0.1%
252 72
 
0.1%
251 79
 
0.1%

714
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.83107143
Minimum0
Maximum255
Zeros31103
Zeros (%)44.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:22.893302image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median45
Q3186
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)186

Descriptive statistics

Standard deviation93.62870849
Coefficient of variation (CV)1.078285767
Kurtosis-1.53744594
Mean86.83107143
Median Absolute Deviation (MAD)45
Skewness0.4075595086
Sum6078175
Variance8766.335054
MonotonicityNot monotonic
2025-03-23T12:52:23.440004image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31103
44.4%
255 385
 
0.5%
216 373
 
0.5%
220 365
 
0.5%
225 364
 
0.5%
231 363
 
0.5%
219 363
 
0.5%
224 353
 
0.5%
223 352
 
0.5%
215 351
 
0.5%
Other values (246) 35628
50.9%
ValueCountFrequency (%)
0 31103
44.4%
1 332
 
0.5%
2 328
 
0.5%
3 275
 
0.4%
4 226
 
0.3%
ValueCountFrequency (%)
255 385
0.5%
254 80
 
0.1%
253 73
 
0.1%
252 47
 
0.1%
251 68
 
0.1%

715
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.51262857
Minimum0
Maximum255
Zeros28988
Zeros (%)41.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:23.580636image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median65
Q3190
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)190

Descriptive statistics

Standard deviation93.87935496
Coefficient of variation (CV)1.025862293
Kurtosis-1.584295991
Mean91.51262857
Median Absolute Deviation (MAD)65
Skewness0.3246689732
Sum6405884
Variance8813.333288
MonotonicityNot monotonic
2025-03-23T12:52:23.736850image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28988
41.4%
255 445
 
0.6%
1 406
 
0.6%
223 403
 
0.6%
216 392
 
0.6%
206 385
 
0.5%
226 384
 
0.5%
224 367
 
0.5%
227 364
 
0.5%
219 363
 
0.5%
Other values (246) 37503
53.6%
ValueCountFrequency (%)
0 28988
41.4%
1 406
 
0.6%
2 307
 
0.4%
3 258
 
0.4%
4 166
 
0.2%
ValueCountFrequency (%)
255 445
0.6%
254 100
 
0.1%
253 64
 
0.1%
252 75
 
0.1%
251 83
 
0.1%

716
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.79258571
Minimum0
Maximum255
Zeros27454
Zeros (%)39.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:23.877439image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median86
Q3197
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)197

Descriptive statistics

Standard deviation95.2286522
Coefficient of variation (CV)0.9737819233
Kurtosis-1.663824952
Mean97.79258571
Median Absolute Deviation (MAD)86
Skewness0.2039218102
Sum6845481
Variance9068.496201
MonotonicityNot monotonic
2025-03-23T12:52:24.018037image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27454
39.2%
1 535
 
0.8%
220 434
 
0.6%
214 423
 
0.6%
222 422
 
0.6%
223 408
 
0.6%
219 407
 
0.6%
216 404
 
0.6%
255 401
 
0.6%
225 400
 
0.6%
Other values (246) 38712
55.3%
ValueCountFrequency (%)
0 27454
39.2%
1 535
 
0.8%
2 363
 
0.5%
3 255
 
0.4%
4 179
 
0.3%
ValueCountFrequency (%)
255 401
0.6%
254 92
 
0.1%
253 75
 
0.1%
252 74
 
0.1%
251 95
 
0.1%

717
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.94251429
Minimum0
Maximum255
Zeros27593
Zeros (%)39.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:24.158620image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median80
Q3195
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)195

Descriptive statistics

Standard deviation94.75770468
Coefficient of variation (CV)0.9876508385
Kurtosis-1.65172951
Mean95.94251429
Median Absolute Deviation (MAD)80
Skewness0.2313838424
Sum6715976
Variance8979.022596
MonotonicityNot monotonic
2025-03-23T12:52:24.314836image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27593
39.4%
1 723
 
1.0%
2 450
 
0.6%
216 435
 
0.6%
215 417
 
0.6%
227 415
 
0.6%
217 415
 
0.6%
230 395
 
0.6%
225 393
 
0.6%
218 393
 
0.6%
Other values (246) 38371
54.8%
ValueCountFrequency (%)
0 27593
39.4%
1 723
 
1.0%
2 450
 
0.6%
3 315
 
0.4%
4 213
 
0.3%
ValueCountFrequency (%)
255 332
0.5%
254 78
 
0.1%
253 62
 
0.1%
252 64
 
0.1%
251 82
 
0.1%

718
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.34097143
Minimum0
Maximum255
Zeros29547
Zeros (%)42.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:24.455389image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median49
Q3182
95-th percentile231
Maximum255
Range255
Interquartile range (IQR)182

Descriptive statistics

Standard deviation92.15857567
Coefficient of variation (CV)1.067379416
Kurtosis-1.516589513
Mean86.34097143
Median Absolute Deviation (MAD)49
Skewness0.4071828012
Sum6043868
Variance8493.20307
MonotonicityNot monotonic
2025-03-23T12:52:24.596018image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29547
42.2%
1 683
 
1.0%
2 530
 
0.8%
3 426
 
0.6%
214 368
 
0.5%
217 364
 
0.5%
216 344
 
0.5%
213 343
 
0.5%
255 336
 
0.5%
215 334
 
0.5%
Other values (246) 36725
52.5%
ValueCountFrequency (%)
0 29547
42.2%
1 683
 
1.0%
2 530
 
0.8%
3 426
 
0.6%
4 246
 
0.4%
ValueCountFrequency (%)
255 336
0.5%
254 70
 
0.1%
253 54
 
0.1%
252 58
 
0.1%
251 65
 
0.1%

719
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.70445714
Minimum0
Maximum255
Zeros34291
Zeros (%)49.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:24.736614image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q3164
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)164

Descriptive statistics

Standard deviation90.32910757
Coefficient of variation (CV)1.225558278
Kurtosis-1.189567596
Mean73.70445714
Median Absolute Deviation (MAD)2
Skewness0.6904376945
Sum5159312
Variance8159.347674
MonotonicityNot monotonic
2025-03-23T12:52:24.877164image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34291
49.0%
1 676
 
1.0%
255 647
 
0.9%
2 523
 
0.7%
3 408
 
0.6%
4 302
 
0.4%
223 273
 
0.4%
207 264
 
0.4%
219 263
 
0.4%
226 261
 
0.4%
Other values (246) 32092
45.8%
ValueCountFrequency (%)
0 34291
49.0%
1 676
 
1.0%
2 523
 
0.7%
3 408
 
0.6%
4 302
 
0.4%
ValueCountFrequency (%)
255 647
0.9%
254 132
 
0.2%
253 98
 
0.1%
252 84
 
0.1%
251 82
 
0.1%

720
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.52688571
Minimum0
Maximum255
Zeros40049
Zeros (%)57.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:25.017797image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3112
95-th percentile223
Maximum255
Range255
Interquartile range (IQR)112

Descriptive statistics

Standard deviation81.24394817
Coefficient of variation (CV)1.463146134
Kurtosis-0.3282327719
Mean55.52688571
Median Absolute Deviation (MAD)0
Skewness1.115551985
Sum3886882
Variance6600.579114
MonotonicityNot monotonic
2025-03-23T12:52:25.158384image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40049
57.2%
1 465
 
0.7%
2 407
 
0.6%
255 381
 
0.5%
3 344
 
0.5%
4 237
 
0.3%
5 186
 
0.3%
222 182
 
0.3%
206 181
 
0.3%
221 179
 
0.3%
Other values (246) 27389
39.1%
ValueCountFrequency (%)
0 40049
57.2%
1 465
 
0.7%
2 407
 
0.6%
3 344
 
0.5%
4 237
 
0.3%
ValueCountFrequency (%)
255 381
0.5%
254 54
 
0.1%
253 48
 
0.1%
252 48
 
0.1%
251 48
 
0.1%

721
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.34148571
Minimum0
Maximum255
Zeros42043
Zeros (%)60.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:25.298978image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q398
95-th percentile222
Maximum255
Range255
Interquartile range (IQR)98

Descriptive statistics

Standard deviation79.82450296
Coefficient of variation (CV)1.554775867
Kurtosis-0.05719262916
Mean51.34148571
Median Absolute Deviation (MAD)0
Skewness1.234007897
Sum3593904
Variance6371.951273
MonotonicityNot monotonic
2025-03-23T12:52:25.439588image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42043
60.1%
1 609
 
0.9%
2 445
 
0.6%
3 396
 
0.6%
255 305
 
0.4%
4 267
 
0.4%
5 211
 
0.3%
6 195
 
0.3%
7 185
 
0.3%
207 178
 
0.3%
Other values (246) 25166
36.0%
ValueCountFrequency (%)
0 42043
60.1%
1 609
 
0.9%
2 445
 
0.6%
3 396
 
0.6%
4 267
 
0.4%
ValueCountFrequency (%)
255 305
0.4%
254 55
 
0.1%
253 43
 
0.1%
252 52
 
0.1%
251 50
 
0.1%

722
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.5029
Minimum0
Maximum255
Zeros43118
Zeros (%)61.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:25.564541image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3114
95-th percentile230
Maximum255
Range255
Interquartile range (IQR)114

Descriptive statistics

Standard deviation85.48666959
Coefficient of variation (CV)1.568479284
Kurtosis-0.3210358082
Mean54.5029
Median Absolute Deviation (MAD)0
Skewness1.169528388
Sum3815203
Variance7307.970677
MonotonicityNot monotonic
2025-03-23T12:52:25.705094image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43118
61.6%
1 768
 
1.1%
2 592
 
0.8%
3 475
 
0.7%
255 469
 
0.7%
4 393
 
0.6%
5 291
 
0.4%
6 285
 
0.4%
7 199
 
0.3%
218 195
 
0.3%
Other values (246) 23215
33.2%
ValueCountFrequency (%)
0 43118
61.6%
1 768
 
1.1%
2 592
 
0.8%
3 475
 
0.7%
4 393
 
0.6%
ValueCountFrequency (%)
255 469
0.7%
254 99
 
0.1%
253 85
 
0.1%
252 65
 
0.1%
251 66
 
0.1%

723
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.30224286
Minimum0
Maximum255
Zeros45116
Zeros (%)64.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:25.861348image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q374
95-th percentile220
Maximum255
Range255
Interquartile range (IQR)74

Descriptive statistics

Standard deviation77.65325129
Coefficient of variation (CV)1.71411494
Kurtosis0.4100397316
Mean45.30224286
Median Absolute Deviation (MAD)0
Skewness1.415729961
Sum3171157
Variance6030.027435
MonotonicityNot monotonic
2025-03-23T12:52:26.001940image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45116
64.5%
1 1105
 
1.6%
2 768
 
1.1%
3 593
 
0.8%
4 431
 
0.6%
5 319
 
0.5%
255 225
 
0.3%
6 206
 
0.3%
7 160
 
0.2%
228 158
 
0.2%
Other values (246) 20919
29.9%
ValueCountFrequency (%)
0 45116
64.5%
1 1105
 
1.6%
2 768
 
1.1%
3 593
 
0.8%
4 431
 
0.6%
ValueCountFrequency (%)
255 225
0.3%
254 68
 
0.1%
253 33
 
< 0.1%
252 49
 
0.1%
251 39
 
0.1%

724
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.84468571
Minimum0
Maximum255
Zeros53012
Zeros (%)75.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:26.142493image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile190
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation61.28951178
Coefficient of variation (CV)2.201120616
Kurtosis3.334645572
Mean27.84468571
Median Absolute Deviation (MAD)0
Skewness2.147800927
Sum1949128
Variance3756.404255
MonotonicityNot monotonic
2025-03-23T12:52:26.283125image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53012
75.7%
1 654
 
0.9%
2 420
 
0.6%
3 278
 
0.4%
4 217
 
0.3%
5 169
 
0.2%
6 130
 
0.2%
255 96
 
0.1%
103 91
 
0.1%
141 88
 
0.1%
Other values (246) 14845
 
21.2%
ValueCountFrequency (%)
0 53012
75.7%
1 654
 
0.9%
2 420
 
0.6%
3 278
 
0.4%
4 217
 
0.3%
ValueCountFrequency (%)
255 96
0.1%
254 20
 
< 0.1%
253 12
 
< 0.1%
252 12
 
< 0.1%
251 18
 
< 0.1%

725
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.89505714
Minimum0
Maximum255
Zeros61818
Zeros (%)88.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:26.423713image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile138.05
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation46.48769979
Coefficient of variation (CV)3.345628543
Kurtosis11.62703678
Mean13.89505714
Median Absolute Deviation (MAD)0
Skewness3.532439248
Sum972654
Variance2161.106231
MonotonicityNot monotonic
2025-03-23T12:52:26.579927image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 61818
88.3%
1 345
 
0.5%
2 177
 
0.3%
3 104
 
0.1%
255 87
 
0.1%
4 72
 
0.1%
5 72
 
0.1%
6 57
 
0.1%
39 47
 
0.1%
7 44
 
0.1%
Other values (246) 7177
 
10.3%
ValueCountFrequency (%)
0 61818
88.3%
1 345
 
0.5%
2 177
 
0.3%
3 104
 
0.1%
4 72
 
0.1%
ValueCountFrequency (%)
255 87
0.1%
254 14
 
< 0.1%
253 10
 
< 0.1%
252 15
 
< 0.1%
251 9
 
< 0.1%

726
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.143071429
Minimum0
Maximum255
Zeros65280
Zeros (%)93.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:26.720480image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile32.05
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation34.05079852
Coefficient of variation (CV)4.766968784
Kurtosis29.18282798
Mean7.143071429
Median Absolute Deviation (MAD)0
Skewness5.350367544
Sum500015
Variance1159.45688
MonotonicityNot monotonic
2025-03-23T12:52:26.861073image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 65280
93.3%
1 257
 
0.4%
255 184
 
0.3%
2 143
 
0.2%
3 93
 
0.1%
4 71
 
0.1%
5 57
 
0.1%
6 46
 
0.1%
8 31
 
< 0.1%
9 31
 
< 0.1%
Other values (246) 3807
 
5.4%
ValueCountFrequency (%)
0 65280
93.3%
1 257
 
0.4%
2 143
 
0.2%
3 93
 
0.1%
4 71
 
0.1%
ValueCountFrequency (%)
255 184
0.3%
254 6
 
< 0.1%
253 11
 
< 0.1%
252 14
 
< 0.1%
251 8
 
< 0.1%

727
Real number (ℝ)

Zeros 

Distinct210
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.382385714
Minimum0
Maximum250
Zeros68181
Zeros (%)97.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:27.001704image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum250
Range250
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.2328208
Coefficient of variation (CV)8.849064823
Kurtosis141.244283
Mean1.382385714
Median Absolute Deviation (MAD)0
Skewness11.17185102
Sum96767
Variance149.6419046
MonotonicityNot monotonic
2025-03-23T12:52:27.157916image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68181
97.4%
1 207
 
0.3%
2 130
 
0.2%
3 64
 
0.1%
4 47
 
0.1%
6 36
 
0.1%
5 24
 
< 0.1%
22 22
 
< 0.1%
13 19
 
< 0.1%
29 18
 
< 0.1%
Other values (200) 1252
 
1.8%
ValueCountFrequency (%)
0 68181
97.4%
1 207
 
0.3%
2 130
 
0.2%
3 64
 
0.1%
4 47
 
0.1%
ValueCountFrequency (%)
250 1
< 0.1%
248 1
< 0.1%
240 1
< 0.1%
237 1
< 0.1%
234 1
< 0.1%

728
Real number (ℝ)

Skewed  Zeros 

Distinct133
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2898142857
Minimum0
Maximum227
Zeros69246
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:27.298470image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum227
Range227
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.06936913
Coefficient of variation (CV)17.49178484
Kurtosis645.4050737
Mean0.2898142857
Median Absolute Deviation (MAD)0
Skewness23.54849192
Sum20287
Variance25.69850337
MonotonicityNot monotonic
2025-03-23T12:52:27.439106image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69246
98.9%
1 218
 
0.3%
2 103
 
0.1%
3 37
 
0.1%
4 29
 
< 0.1%
5 17
 
< 0.1%
6 15
 
< 0.1%
25 9
 
< 0.1%
11 8
 
< 0.1%
23 7
 
< 0.1%
Other values (123) 311
 
0.4%
ValueCountFrequency (%)
0 69246
98.9%
1 218
 
0.3%
2 103
 
0.1%
3 37
 
0.1%
4 29
 
< 0.1%
ValueCountFrequency (%)
227 1
< 0.1%
215 1
< 0.1%
199 1
< 0.1%
188 1
< 0.1%
179 1
< 0.1%

729
Real number (ℝ)

Zeros 

Distinct241
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.590271429
Minimum0
Maximum255
Zeros68232
Zeros (%)97.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:27.579693image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.13448221
Coefficient of variation (CV)9.516917641
Kurtosis153.7297821
Mean1.590271429
Median Absolute Deviation (MAD)0
Skewness11.79470856
Sum111319
Variance229.0525518
MonotonicityNot monotonic
2025-03-23T12:52:27.720244image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68232
97.5%
1 275
 
0.4%
2 126
 
0.2%
3 83
 
0.1%
4 48
 
0.1%
5 34
 
< 0.1%
255 33
 
< 0.1%
6 29
 
< 0.1%
7 27
 
< 0.1%
8 18
 
< 0.1%
Other values (231) 1095
 
1.6%
ValueCountFrequency (%)
0 68232
97.5%
1 275
 
0.4%
2 126
 
0.2%
3 83
 
0.1%
4 48
 
0.1%
ValueCountFrequency (%)
255 33
< 0.1%
254 2
 
< 0.1%
253 2
 
< 0.1%
252 3
 
< 0.1%
250 6
 
< 0.1%

730
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7899
Minimum0
Maximum255
Zeros66250
Zeros (%)94.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:27.860876image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation26.88193119
Coefficient of variation (CV)5.612211358
Kurtosis44.133531
Mean4.7899
Median Absolute Deviation (MAD)0
Skewness6.469769585
Sum335293
Variance722.6382243
MonotonicityNot monotonic
2025-03-23T12:52:28.001469image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66250
94.6%
1 336
 
0.5%
2 180
 
0.3%
3 105
 
0.1%
255 66
 
0.1%
4 62
 
0.1%
5 51
 
0.1%
6 47
 
0.1%
7 27
 
< 0.1%
44 24
 
< 0.1%
Other values (246) 2852
 
4.1%
ValueCountFrequency (%)
0 66250
94.6%
1 336
 
0.5%
2 180
 
0.3%
3 105
 
0.1%
4 62
 
0.1%
ValueCountFrequency (%)
255 66
0.1%
254 4
 
< 0.1%
253 4
 
< 0.1%
252 8
 
< 0.1%
251 8
 
< 0.1%

731
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.84074286
Minimum0
Maximum255
Zeros60869
Zeros (%)87.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:28.188886image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile129
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation45.1073284
Coefficient of variation (CV)3.259025102
Kurtosis12.02527824
Mean13.84074286
Median Absolute Deviation (MAD)0
Skewness3.54040089
Sum968852
Variance2034.671075
MonotonicityNot monotonic
2025-03-23T12:52:28.360761image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60869
87.0%
1 523
 
0.7%
2 264
 
0.4%
3 161
 
0.2%
255 160
 
0.2%
5 100
 
0.1%
4 100
 
0.1%
6 61
 
0.1%
66 54
 
0.1%
90 50
 
0.1%
Other values (246) 7658
 
10.9%
ValueCountFrequency (%)
0 60869
87.0%
1 523
 
0.7%
2 264
 
0.4%
3 161
 
0.2%
4 100
 
0.1%
ValueCountFrequency (%)
255 160
0.2%
254 21
 
< 0.1%
253 8
 
< 0.1%
252 17
 
< 0.1%
251 13
 
< 0.1%

732
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.84124286
Minimum0
Maximum255
Zeros51078
Zeros (%)73.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:28.485689image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile205
Maximum255
Range255
Interquartile range (IQR)2

Descriptive statistics

Standard deviation66.91414224
Coefficient of variation (CV)2.101492789
Kurtosis2.66367399
Mean31.84124286
Median Absolute Deviation (MAD)0
Skewness2.005177877
Sum2228887
Variance4477.502432
MonotonicityNot monotonic
2025-03-23T12:52:28.626317image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 51078
73.0%
1 907
 
1.3%
2 583
 
0.8%
3 396
 
0.6%
255 349
 
0.5%
4 309
 
0.4%
5 210
 
0.3%
6 154
 
0.2%
7 121
 
0.2%
117 96
 
0.1%
Other values (246) 15797
 
22.6%
ValueCountFrequency (%)
0 51078
73.0%
1 907
 
1.3%
2 583
 
0.8%
3 396
 
0.6%
4 309
 
0.4%
ValueCountFrequency (%)
255 349
0.5%
254 81
 
0.1%
253 50
 
0.1%
252 60
 
0.1%
251 38
 
0.1%

733
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.72791429
Minimum0
Maximum255
Zeros46422
Zeros (%)66.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:28.766913image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q357
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)57

Descriptive statistics

Standard deviation81.62478252
Coefficient of variation (CV)1.785009961
Kurtosis0.5626541052
Mean45.72791429
Median Absolute Deviation (MAD)0
Skewness1.484515513
Sum3200954
Variance6662.605121
MonotonicityNot monotonic
2025-03-23T12:52:29.282417image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46422
66.3%
1 1019
 
1.5%
255 970
 
1.4%
2 721
 
1.0%
3 591
 
0.8%
4 468
 
0.7%
5 348
 
0.5%
6 258
 
0.4%
7 183
 
0.3%
254 180
 
0.3%
Other values (246) 18840
26.9%
ValueCountFrequency (%)
0 46422
66.3%
1 1019
 
1.5%
2 721
 
1.0%
3 591
 
0.8%
4 468
 
0.7%
ValueCountFrequency (%)
255 970
1.4%
254 180
 
0.3%
253 107
 
0.2%
252 98
 
0.1%
251 97
 
0.1%

734
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.19698571
Minimum0
Maximum255
Zeros44963
Zeros (%)64.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:29.423003image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q382
95-th percentile233
Maximum255
Range255
Interquartile range (IQR)82

Descriptive statistics

Standard deviation82.72919893
Coefficient of variation (CV)1.681590807
Kurtosis0.2696713111
Mean49.19698571
Median Absolute Deviation (MAD)0
Skewness1.374177938
Sum3443789
Variance6844.120355
MonotonicityNot monotonic
2025-03-23T12:52:29.563605image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 44963
64.2%
255 1123
 
1.6%
1 676
 
1.0%
2 536
 
0.8%
3 396
 
0.6%
4 314
 
0.4%
5 247
 
0.4%
6 203
 
0.3%
224 153
 
0.2%
231 146
 
0.2%
Other values (246) 21243
30.3%
ValueCountFrequency (%)
0 44963
64.2%
1 676
 
1.0%
2 536
 
0.8%
3 396
 
0.6%
4 314
 
0.4%
ValueCountFrequency (%)
255 1123
1.6%
254 142
 
0.2%
253 129
 
0.2%
252 99
 
0.1%
251 113
 
0.2%

735
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.16101429
Minimum0
Maximum255
Zeros44462
Zeros (%)63.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:29.688531image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q370
95-th percentile228
Maximum255
Range255
Interquartile range (IQR)70

Descriptive statistics

Standard deviation78.39015237
Coefficient of variation (CV)1.698189556
Kurtosis0.6771034145
Mean46.16101429
Median Absolute Deviation (MAD)0
Skewness1.478501946
Sum3231271
Variance6145.015989
MonotonicityNot monotonic
2025-03-23T12:52:29.823295image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 44462
63.5%
255 987
 
1.4%
1 459
 
0.7%
2 432
 
0.6%
3 356
 
0.5%
4 275
 
0.4%
5 225
 
0.3%
6 166
 
0.2%
229 137
 
0.2%
7 131
 
0.2%
Other values (246) 22370
32.0%
ValueCountFrequency (%)
0 44462
63.5%
1 459
 
0.7%
2 432
 
0.6%
3 356
 
0.5%
4 275
 
0.4%
ValueCountFrequency (%)
255 987
1.4%
254 125
 
0.2%
253 93
 
0.1%
252 71
 
0.1%
251 70
 
0.1%

736
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.92022857
Minimum0
Maximum255
Zeros40370
Zeros (%)57.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:29.963891image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3126
95-th percentile240
Maximum255
Range255
Interquartile range (IQR)126

Descriptive statistics

Standard deviation88.02705098
Coefficient of variation (CV)1.469070681
Kurtosis-0.4703159417
Mean59.92022857
Median Absolute Deviation (MAD)0
Skewness1.080332079
Sum4194416
Variance7748.761705
MonotonicityNot monotonic
2025-03-23T12:52:30.088860image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40370
57.7%
255 1471
 
2.1%
1 597
 
0.9%
2 523
 
0.7%
3 458
 
0.7%
4 319
 
0.5%
5 241
 
0.3%
254 187
 
0.3%
229 186
 
0.3%
233 185
 
0.3%
Other values (246) 25463
36.4%
ValueCountFrequency (%)
0 40370
57.7%
1 597
 
0.9%
2 523
 
0.7%
3 458
 
0.7%
4 319
 
0.5%
ValueCountFrequency (%)
255 1471
2.1%
254 187
 
0.3%
253 156
 
0.2%
252 142
 
0.2%
251 111
 
0.2%

737
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.67478571
Minimum0
Maximum255
Zeros33922
Zeros (%)48.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:30.229412image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q3171
95-th percentile245
Maximum255
Range255
Interquartile range (IQR)171

Descriptive statistics

Standard deviation94.69081852
Coefficient of variation (CV)1.234966849
Kurtosis-1.201530755
Mean76.67478571
Median Absolute Deviation (MAD)2
Skewness0.6941756838
Sum5367235
Variance8966.351112
MonotonicityNot monotonic
2025-03-23T12:52:30.370044image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33922
48.5%
255 1855
 
2.6%
1 898
 
1.3%
2 722
 
1.0%
3 626
 
0.9%
4 433
 
0.6%
5 324
 
0.5%
234 264
 
0.4%
227 253
 
0.4%
232 252
 
0.4%
Other values (246) 30451
43.5%
ValueCountFrequency (%)
0 33922
48.5%
1 898
 
1.3%
2 722
 
1.0%
3 626
 
0.9%
4 433
 
0.6%
ValueCountFrequency (%)
255 1855
2.6%
254 234
 
0.3%
253 188
 
0.3%
252 169
 
0.2%
251 153
 
0.2%

738
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.04861429
Minimum0
Maximum255
Zeros30975
Zeros (%)44.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:30.510633image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median41
Q3193
95-th percentile249
Maximum255
Range255
Interquartile range (IQR)193

Descriptive statistics

Standard deviation98.17200658
Coefficient of variation (CV)1.090211186
Kurtosis-1.511750569
Mean90.04861429
Median Absolute Deviation (MAD)41
Skewness0.4328020835
Sum6303403
Variance9637.742876
MonotonicityNot monotonic
2025-03-23T12:52:30.651232image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30975
44.2%
255 2208
 
3.2%
1 561
 
0.8%
2 435
 
0.6%
3 334
 
0.5%
229 304
 
0.4%
231 300
 
0.4%
254 298
 
0.4%
227 295
 
0.4%
230 289
 
0.4%
Other values (246) 34001
48.6%
ValueCountFrequency (%)
0 30975
44.2%
1 561
 
0.8%
2 435
 
0.6%
3 334
 
0.5%
4 272
 
0.4%
ValueCountFrequency (%)
255 2208
3.2%
254 298
 
0.4%
253 261
 
0.4%
252 229
 
0.3%
251 210
 
0.3%

739
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.5131
Minimum0
Maximum255
Zeros29497
Zeros (%)42.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:30.776195image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median70
Q3205
95-th percentile253
Maximum255
Range255
Interquartile range (IQR)205

Descriptive statistics

Standard deviation101.1208557
Coefficient of variation (CV)1.026471156
Kurtosis-1.629427567
Mean98.5131
Median Absolute Deviation (MAD)70
Skewness0.2983437492
Sum6895917
Variance10225.42745
MonotonicityNot monotonic
2025-03-23T12:52:30.916750image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29497
42.1%
255 2924
 
4.2%
1 460
 
0.7%
254 453
 
0.6%
253 384
 
0.5%
246 345
 
0.5%
243 338
 
0.5%
229 324
 
0.5%
234 324
 
0.5%
244 323
 
0.5%
Other values (246) 34628
49.5%
ValueCountFrequency (%)
0 29497
42.1%
1 460
 
0.7%
2 320
 
0.5%
3 289
 
0.4%
4 217
 
0.3%
ValueCountFrequency (%)
255 2924
4.2%
254 453
 
0.6%
253 384
 
0.5%
252 295
 
0.4%
251 252
 
0.4%

740
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.55971429
Minimum0
Maximum255
Zeros29724
Zeros (%)42.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:31.057378image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median63
Q3206
95-th percentile254
Maximum255
Range255
Interquartile range (IQR)206

Descriptive statistics

Standard deviation101.5639632
Coefficient of variation (CV)1.041044082
Kurtosis-1.610180344
Mean97.55971429
Median Absolute Deviation (MAD)63
Skewness0.3317533093
Sum6829180
Variance10315.23862
MonotonicityNot monotonic
2025-03-23T12:52:31.197971image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29724
42.5%
255 3411
 
4.9%
254 492
 
0.7%
1 414
 
0.6%
253 410
 
0.6%
237 338
 
0.5%
239 327
 
0.5%
2 324
 
0.5%
241 320
 
0.5%
229 316
 
0.5%
Other values (246) 33924
48.5%
ValueCountFrequency (%)
0 29724
42.5%
1 414
 
0.6%
2 324
 
0.5%
3 280
 
0.4%
4 235
 
0.3%
ValueCountFrequency (%)
255 3411
4.9%
254 492
 
0.7%
253 410
 
0.6%
252 310
 
0.4%
251 288
 
0.4%

741
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.9097
Minimum0
Maximum255
Zeros32332
Zeros (%)46.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:31.322942image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median22
Q3194
95-th percentile254
Maximum255
Range255
Interquartile range (IQR)194

Descriptive statistics

Standard deviation99.74015328
Coefficient of variation (CV)1.134575061
Kurtosis-1.445862782
Mean87.9097
Median Absolute Deviation (MAD)22
Skewness0.5128969932
Sum6153679
Variance9948.098176
MonotonicityNot monotonic
2025-03-23T12:52:31.463537image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32332
46.2%
255 3355
 
4.8%
1 482
 
0.7%
254 407
 
0.6%
2 372
 
0.5%
253 354
 
0.5%
3 310
 
0.4%
240 286
 
0.4%
234 284
 
0.4%
228 272
 
0.4%
Other values (246) 31546
45.1%
ValueCountFrequency (%)
0 32332
46.2%
1 482
 
0.7%
2 372
 
0.5%
3 310
 
0.4%
4 250
 
0.4%
ValueCountFrequency (%)
255 3355
4.8%
254 407
 
0.6%
253 354
 
0.5%
252 270
 
0.4%
251 216
 
0.3%

742
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.81975714
Minimum0
Maximum255
Zeros35041
Zeros (%)50.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:31.604124image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3181
95-th percentile253
Maximum255
Range255
Interquartile range (IQR)181

Descriptive statistics

Standard deviation97.92599599
Coefficient of variation (CV)1.226839062
Kurtosis-1.269097076
Mean79.81975714
Median Absolute Deviation (MAD)0
Skewness0.6638683169
Sum5587383
Variance9589.500691
MonotonicityNot monotonic
2025-03-23T12:52:31.744724image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35041
50.1%
255 2887
 
4.1%
1 539
 
0.8%
2 469
 
0.7%
254 399
 
0.6%
3 370
 
0.5%
253 290
 
0.4%
4 290
 
0.4%
252 273
 
0.4%
238 256
 
0.4%
Other values (246) 29186
41.7%
ValueCountFrequency (%)
0 35041
50.1%
1 539
 
0.8%
2 469
 
0.7%
3 370
 
0.5%
4 290
 
0.4%
ValueCountFrequency (%)
255 2887
4.1%
254 399
 
0.6%
253 290
 
0.4%
252 273
 
0.4%
251 193
 
0.3%

743
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.4962
Minimum0
Maximum255
Zeros33060
Zeros (%)47.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:31.885310image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q3190
95-th percentile254
Maximum255
Range255
Interquartile range (IQR)190

Descriptive statistics

Standard deviation99.23135678
Coefficient of variation (CV)1.160652249
Kurtosis-1.397334432
Mean85.4962
Median Absolute Deviation (MAD)8
Skewness0.5578120887
Sum5984734
Variance9846.862169
MonotonicityNot monotonic
2025-03-23T12:52:32.025900image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33060
47.2%
255 3210
 
4.6%
1 498
 
0.7%
2 426
 
0.6%
254 376
 
0.5%
253 333
 
0.5%
3 324
 
0.5%
252 278
 
0.4%
243 277
 
0.4%
241 275
 
0.4%
Other values (246) 30943
44.2%
ValueCountFrequency (%)
0 33060
47.2%
1 498
 
0.7%
2 426
 
0.6%
3 324
 
0.5%
4 266
 
0.4%
ValueCountFrequency (%)
255 3210
4.6%
254 376
 
0.5%
253 333
 
0.5%
252 278
 
0.4%
251 242
 
0.3%

744
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.58117143
Minimum0
Maximum255
Zeros31368
Zeros (%)44.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:32.166456image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median38
Q3201
95-th percentile253
Maximum255
Range255
Interquartile range (IQR)201

Descriptive statistics

Standard deviation101.0133832
Coefficient of variation (CV)1.091079121
Kurtosis-1.561512066
Mean92.58117143
Median Absolute Deviation (MAD)38
Skewness0.4112722275
Sum6480682
Variance10203.70358
MonotonicityNot monotonic
2025-03-23T12:52:32.307085image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31368
44.8%
255 2927
 
4.2%
1 598
 
0.9%
254 488
 
0.7%
2 437
 
0.6%
253 364
 
0.5%
3 334
 
0.5%
239 313
 
0.4%
236 310
 
0.4%
243 302
 
0.4%
Other values (246) 32559
46.5%
ValueCountFrequency (%)
0 31368
44.8%
1 598
 
0.9%
2 437
 
0.6%
3 334
 
0.5%
4 255
 
0.4%
ValueCountFrequency (%)
255 2927
4.2%
254 488
 
0.7%
253 364
 
0.5%
252 285
 
0.4%
251 275
 
0.4%

745
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.55325714
Minimum0
Maximum255
Zeros31436
Zeros (%)44.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:32.432018image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median32
Q3197
95-th percentile251
Maximum255
Range255
Interquartile range (IQR)197

Descriptive statistics

Standard deviation99.8244684
Coefficient of variation (CV)1.102384073
Kurtosis-1.534737729
Mean90.55325714
Median Absolute Deviation (MAD)32
Skewness0.4342660193
Sum6338728
Variance9964.924491
MonotonicityNot monotonic
2025-03-23T12:52:32.572646image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31436
44.9%
255 2410
 
3.4%
1 796
 
1.1%
2 505
 
0.7%
254 395
 
0.6%
3 371
 
0.5%
253 327
 
0.5%
232 314
 
0.4%
236 312
 
0.4%
234 311
 
0.4%
Other values (246) 32823
46.9%
ValueCountFrequency (%)
0 31436
44.9%
1 796
 
1.1%
2 505
 
0.7%
3 371
 
0.5%
4 250
 
0.4%
ValueCountFrequency (%)
255 2410
3.4%
254 395
 
0.6%
253 327
 
0.5%
252 260
 
0.4%
251 243
 
0.3%

746
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.17567143
Minimum0
Maximum255
Zeros33190
Zeros (%)47.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:32.713247image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q3176
95-th percentile245
Maximum255
Range255
Interquartile range (IQR)176

Descriptive statistics

Standard deviation95.18696259
Coefficient of variation (CV)1.202224886
Kurtosis-1.278634241
Mean79.17567143
Median Absolute Deviation (MAD)3
Skewness0.6389776885
Sum5542297
Variance9060.557848
MonotonicityNot monotonic
2025-03-23T12:52:32.853834image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33190
47.4%
255 1738
 
2.5%
1 918
 
1.3%
2 652
 
0.9%
3 557
 
0.8%
4 369
 
0.5%
232 263
 
0.4%
227 263
 
0.4%
234 263
 
0.4%
254 260
 
0.4%
Other values (246) 31527
45.0%
ValueCountFrequency (%)
0 33190
47.4%
1 918
 
1.3%
2 652
 
0.9%
3 557
 
0.8%
4 369
 
0.5%
ValueCountFrequency (%)
255 1738
2.5%
254 260
 
0.4%
253 223
 
0.3%
252 186
 
0.3%
251 167
 
0.2%

747
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.50482857
Minimum0
Maximum255
Zeros38244
Zeros (%)54.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:32.994428image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3134
95-th percentile239
Maximum255
Range255
Interquartile range (IQR)134

Descriptive statistics

Standard deviation88.8641616
Coefficient of variation (CV)1.421716748
Kurtosis-0.6179063301
Mean62.50482857
Median Absolute Deviation (MAD)0
Skewness1.013154131
Sum4375338
Variance7896.839217
MonotonicityNot monotonic
2025-03-23T12:52:33.135029image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 38244
54.6%
255 1382
 
2.0%
1 913
 
1.3%
2 720
 
1.0%
3 626
 
0.9%
4 420
 
0.6%
5 313
 
0.4%
227 209
 
0.3%
235 202
 
0.3%
6 197
 
0.3%
Other values (246) 26774
38.2%
ValueCountFrequency (%)
0 38244
54.6%
1 913
 
1.3%
2 720
 
1.0%
3 626
 
0.9%
4 420
 
0.6%
ValueCountFrequency (%)
255 1382
2.0%
254 177
 
0.3%
253 132
 
0.2%
252 135
 
0.2%
251 139
 
0.2%

748
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.93975714
Minimum0
Maximum255
Zeros44855
Zeros (%)64.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:33.259990image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q369
95-th percentile229
Maximum255
Range255
Interquartile range (IQR)69

Descriptive statistics

Standard deviation78.64088716
Coefficient of variation (CV)1.711826358
Kurtosis0.6631552099
Mean45.93975714
Median Absolute Deviation (MAD)0
Skewness1.480076421
Sum3215783
Variance6184.389134
MonotonicityNot monotonic
2025-03-23T12:52:33.400575image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 44855
64.1%
255 906
 
1.3%
1 555
 
0.8%
2 442
 
0.6%
3 390
 
0.6%
4 269
 
0.4%
5 212
 
0.3%
6 188
 
0.3%
7 140
 
0.2%
231 136
 
0.2%
Other values (246) 21907
31.3%
ValueCountFrequency (%)
0 44855
64.1%
1 555
 
0.8%
2 442
 
0.6%
3 390
 
0.6%
4 269
 
0.4%
ValueCountFrequency (%)
255 906
1.3%
254 117
 
0.2%
253 104
 
0.1%
252 90
 
0.1%
251 64
 
0.1%

749
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.0771
Minimum0
Maximum255
Zeros45269
Zeros (%)64.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:33.525551image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q360
95-th percentile225
Maximum255
Range255
Interquartile range (IQR)60

Descriptive statistics

Standard deviation77.09212153
Coefficient of variation (CV)1.749028895
Kurtosis0.8425112707
Mean44.0771
Median Absolute Deviation (MAD)0
Skewness1.534598632
Sum3085397
Variance5943.195201
MonotonicityNot monotonic
2025-03-23T12:52:33.666101image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45269
64.7%
255 795
 
1.1%
1 619
 
0.9%
2 503
 
0.7%
3 385
 
0.5%
4 331
 
0.5%
5 231
 
0.3%
6 220
 
0.3%
7 160
 
0.2%
210 130
 
0.2%
Other values (246) 21357
30.5%
ValueCountFrequency (%)
0 45269
64.7%
1 619
 
0.9%
2 503
 
0.7%
3 385
 
0.5%
4 331
 
0.5%
ValueCountFrequency (%)
255 795
1.1%
254 110
 
0.2%
253 87
 
0.1%
252 73
 
0.1%
251 74
 
0.1%

750
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.83541429
Minimum0
Maximum255
Zeros45966
Zeros (%)65.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:33.791109image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q370
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)70

Descriptive statistics

Standard deviation83.23080818
Coefficient of variation (CV)1.739941201
Kurtosis0.3652487504
Mean47.83541429
Median Absolute Deviation (MAD)0
Skewness1.420758239
Sum3348479
Variance6927.367431
MonotonicityNot monotonic
2025-03-23T12:52:33.931664image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45966
65.7%
255 1164
 
1.7%
1 903
 
1.3%
2 619
 
0.9%
3 541
 
0.8%
4 398
 
0.6%
5 296
 
0.4%
6 250
 
0.4%
254 182
 
0.3%
7 174
 
0.2%
Other values (246) 19507
27.9%
ValueCountFrequency (%)
0 45966
65.7%
1 903
 
1.3%
2 619
 
0.9%
3 541
 
0.8%
4 398
 
0.6%
ValueCountFrequency (%)
255 1164
1.7%
254 182
 
0.3%
253 121
 
0.2%
252 121
 
0.2%
251 95
 
0.1%

751
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.83182857
Minimum0
Maximum255
Zeros48038
Zeros (%)68.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:34.072299image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q322
95-th percentile221
Maximum255
Range255
Interquartile range (IQR)22

Descriptive statistics

Standard deviation74.47466576
Coefficient of variation (CV)1.917876868
Kurtosis1.402944254
Mean38.83182857
Median Absolute Deviation (MAD)0
Skewness1.710065661
Sum2718228
Variance5546.475839
MonotonicityNot monotonic
2025-03-23T12:52:34.572173image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 48038
68.6%
1 1195
 
1.7%
2 760
 
1.1%
3 608
 
0.9%
255 594
 
0.8%
4 491
 
0.7%
5 293
 
0.4%
6 237
 
0.3%
7 150
 
0.2%
254 113
 
0.2%
Other values (246) 17521
 
25.0%
ValueCountFrequency (%)
0 48038
68.6%
1 1195
 
1.7%
2 760
 
1.1%
3 608
 
0.9%
4 491
 
0.7%
ValueCountFrequency (%)
255 594
0.8%
254 113
 
0.2%
253 81
 
0.1%
252 66
 
0.1%
251 69
 
0.1%

752
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.3434
Minimum0
Maximum255
Zeros55681
Zeros (%)79.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:34.712731image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile174
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation55.98020098
Coefficient of variation (CV)2.505446843
Kurtosis5.515557159
Mean22.3434
Median Absolute Deviation (MAD)0
Skewness2.566569154
Sum1564038
Variance3133.782902
MonotonicityNot monotonic
2025-03-23T12:52:34.853358image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55681
79.5%
1 741
 
1.1%
2 391
 
0.6%
3 289
 
0.4%
4 239
 
0.3%
255 202
 
0.3%
5 166
 
0.2%
6 126
 
0.2%
7 82
 
0.1%
156 76
 
0.1%
Other values (246) 12007
 
17.2%
ValueCountFrequency (%)
0 55681
79.5%
1 741
 
1.1%
2 391
 
0.6%
3 289
 
0.4%
4 239
 
0.3%
ValueCountFrequency (%)
255 202
0.3%
254 29
 
< 0.1%
253 20
 
< 0.1%
252 25
 
< 0.1%
251 33
 
< 0.1%

753
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.220714286
Minimum0
Maximum255
Zeros63985
Zeros (%)91.4%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:34.978341image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile79
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation37.79495288
Coefficient of variation (CV)4.098918122
Kurtosis20.45582141
Mean9.220714286
Median Absolute Deviation (MAD)0
Skewness4.522539799
Sum645450
Variance1428.458463
MonotonicityNot monotonic
2025-03-23T12:52:35.118927image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63985
91.4%
1 384
 
0.5%
2 190
 
0.3%
255 129
 
0.2%
3 100
 
0.1%
4 81
 
0.1%
5 48
 
0.1%
58 38
 
0.1%
24 35
 
0.1%
85 33
 
< 0.1%
Other values (246) 4977
 
7.1%
ValueCountFrequency (%)
0 63985
91.4%
1 384
 
0.5%
2 190
 
0.3%
3 100
 
0.1%
4 81
 
0.1%
ValueCountFrequency (%)
255 129
0.2%
254 14
 
< 0.1%
253 7
 
< 0.1%
252 12
 
< 0.1%
251 12
 
< 0.1%

754
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.852028571
Minimum0
Maximum255
Zeros66994
Zeros (%)95.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:35.243897image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation24.59685471
Coefficient of variation (CV)6.385428938
Kurtosis59.98061666
Mean3.852028571
Median Absolute Deviation (MAD)0
Skewness7.504845589
Sum269642
Variance605.0052617
MonotonicityNot monotonic
2025-03-23T12:52:35.384485image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66994
95.7%
1 231
 
0.3%
2 125
 
0.2%
255 118
 
0.2%
3 76
 
0.1%
5 58
 
0.1%
4 47
 
0.1%
6 35
 
0.1%
7 33
 
< 0.1%
21 22
 
< 0.1%
Other values (246) 2261
 
3.2%
ValueCountFrequency (%)
0 66994
95.7%
1 231
 
0.3%
2 125
 
0.2%
3 76
 
0.1%
4 47
 
0.1%
ValueCountFrequency (%)
255 118
0.2%
254 9
 
< 0.1%
253 4
 
< 0.1%
252 14
 
< 0.1%
251 6
 
< 0.1%

755
Real number (ℝ)

Zeros 

Distinct179
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6255714286
Minimum0
Maximum241
Zeros69081
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:35.571945image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum241
Range241
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.120517374
Coefficient of variation (CV)12.98095949
Kurtosis314.4194464
Mean0.6255714286
Median Absolute Deviation (MAD)0
Skewness16.64731046
Sum43790
Variance65.94280243
MonotonicityNot monotonic
2025-03-23T12:52:35.712494image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69081
98.7%
1 115
 
0.2%
2 74
 
0.1%
3 30
 
< 0.1%
4 23
 
< 0.1%
6 17
 
< 0.1%
5 16
 
< 0.1%
9 16
 
< 0.1%
10 13
 
< 0.1%
15 12
 
< 0.1%
Other values (169) 603
 
0.9%
ValueCountFrequency (%)
0 69081
98.7%
1 115
 
0.2%
2 74
 
0.1%
3 30
 
< 0.1%
4 23
 
< 0.1%
ValueCountFrequency (%)
241 1
< 0.1%
237 1
< 0.1%
231 1
< 0.1%
219 2
< 0.1%
216 1
< 0.1%

756
Real number (ℝ)

Skewed  Zeros 

Distinct38
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02614285714
Minimum0
Maximum103
Zeros69749
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:35.837505image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum103
Range103
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.050369063
Coefficient of variation (CV)40.1780516
Kurtosis4386.67453
Mean0.02614285714
Median Absolute Deviation (MAD)0
Skewness62.11429713
Sum1830
Variance1.103275169
MonotonicityNot monotonic
2025-03-23T12:52:35.978055image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 69749
99.6%
1 129
 
0.2%
2 38
 
0.1%
3 17
 
< 0.1%
4 12
 
< 0.1%
7 7
 
< 0.1%
5 5
 
< 0.1%
14 3
 
< 0.1%
10 3
 
< 0.1%
23 2
 
< 0.1%
Other values (28) 35
 
0.1%
ValueCountFrequency (%)
0 69749
99.6%
1 129
 
0.2%
2 38
 
0.1%
3 17
 
< 0.1%
4 12
 
< 0.1%
ValueCountFrequency (%)
103 1
< 0.1%
83 1
< 0.1%
81 1
< 0.1%
73 1
< 0.1%
71 1
< 0.1%

757
Real number (ℝ)

Skewed  Zeros 

Distinct117
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2225714286
Minimum0
Maximum239
Zeros69332
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:36.103067image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum239
Range239
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.513029873
Coefficient of variation (CV)20.27677093
Kurtosis1045.504532
Mean0.2225714286
Median Absolute Deviation (MAD)0
Skewness29.55956076
Sum15580
Variance20.36743864
MonotonicityNot monotonic
2025-03-23T12:52:36.243662image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69332
99.0%
1 208
 
0.3%
2 81
 
0.1%
3 46
 
0.1%
4 24
 
< 0.1%
7 22
 
< 0.1%
5 13
 
< 0.1%
6 11
 
< 0.1%
10 10
 
< 0.1%
9 9
 
< 0.1%
Other values (107) 244
 
0.3%
ValueCountFrequency (%)
0 69332
99.0%
1 208
 
0.3%
2 81
 
0.1%
3 46
 
0.1%
4 24
 
< 0.1%
ValueCountFrequency (%)
239 1
< 0.1%
229 1
< 0.1%
216 1
< 0.1%
215 1
< 0.1%
213 1
< 0.1%

758
Real number (ℝ)

Zeros 

Distinct199
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.018728571
Minimum0
Maximum230
Zeros68228
Zeros (%)97.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:36.384247image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum230
Range230
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.00083744
Coefficient of variation (CV)9.816979438
Kurtosis201.226669
Mean1.018728571
Median Absolute Deviation (MAD)0
Skewness13.15753845
Sum71311
Variance100.0167495
MonotonicityNot monotonic
2025-03-23T12:52:36.509221image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68228
97.5%
1 311
 
0.4%
2 137
 
0.2%
3 75
 
0.1%
4 51
 
0.1%
5 38
 
0.1%
6 31
 
< 0.1%
17 23
 
< 0.1%
38 22
 
< 0.1%
11 21
 
< 0.1%
Other values (189) 1063
 
1.5%
ValueCountFrequency (%)
0 68228
97.5%
1 311
 
0.4%
2 137
 
0.2%
3 75
 
0.1%
4 51
 
0.1%
ValueCountFrequency (%)
230 1
< 0.1%
229 1
< 0.1%
222 1
< 0.1%
221 2
< 0.1%
220 1
< 0.1%

759
Real number (ℝ)

Zeros 

Distinct244
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.380885714
Minimum0
Maximum253
Zeros64376
Zeros (%)92.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:36.649775image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile26
Maximum253
Range253
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.90742792
Coefficient of variation (CV)4.7724203
Kurtosis43.22241598
Mean4.380885714
Median Absolute Deviation (MAD)0
Skewness6.151668942
Sum306662
Variance437.1205421
MonotonicityNot monotonic
2025-03-23T12:52:36.790364image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 64376
92.0%
1 555
 
0.8%
2 206
 
0.3%
3 148
 
0.2%
4 87
 
0.1%
5 76
 
0.1%
6 69
 
0.1%
7 59
 
0.1%
25 58
 
0.1%
20 56
 
0.1%
Other values (234) 4310
 
6.2%
ValueCountFrequency (%)
0 64376
92.0%
1 555
 
0.8%
2 206
 
0.3%
3 148
 
0.2%
4 87
 
0.1%
ValueCountFrequency (%)
253 1
< 0.1%
252 2
< 0.1%
250 1
< 0.1%
249 1
< 0.1%
248 1
< 0.1%

760
Real number (ℝ)

Zeros 

Distinct251
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.63737143
Minimum0
Maximum250
Zeros57154
Zeros (%)81.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:36.915375image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile102
Maximum250
Range250
Interquartile range (IQR)0

Descriptive statistics

Standard deviation36.99458061
Coefficient of variation (CV)2.927395212
Kurtosis11.70421125
Mean12.63737143
Median Absolute Deviation (MAD)0
Skewness3.410601779
Sum884616
Variance1368.598995
MonotonicityNot monotonic
2025-03-23T12:52:37.055968image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 57154
81.6%
1 1035
 
1.5%
2 518
 
0.7%
3 281
 
0.4%
4 198
 
0.3%
5 139
 
0.2%
12 112
 
0.2%
36 109
 
0.2%
6 107
 
0.2%
32 102
 
0.1%
Other values (241) 10245
 
14.6%
ValueCountFrequency (%)
0 57154
81.6%
1 1035
 
1.5%
2 518
 
0.7%
3 281
 
0.4%
4 198
 
0.3%
ValueCountFrequency (%)
250 1
 
< 0.1%
249 1
 
< 0.1%
248 4
< 0.1%
247 3
< 0.1%
246 1
 
< 0.1%

761
Real number (ℝ)

Zeros 

Distinct253
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.87024286
Minimum0
Maximum255
Zeros52912
Zeros (%)75.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:37.196560image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile149
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation48.89982203
Coefficient of variation (CV)2.343040393
Kurtosis4.85967811
Mean20.87024286
Median Absolute Deviation (MAD)0
Skewness2.418221088
Sum1460917
Variance2391.192594
MonotonicityNot monotonic
2025-03-23T12:52:37.337147image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 52912
75.6%
1 1362
 
1.9%
2 665
 
0.9%
3 432
 
0.6%
4 242
 
0.3%
5 167
 
0.2%
51 99
 
0.1%
75 98
 
0.1%
6 98
 
0.1%
80 96
 
0.1%
Other values (243) 13829
 
19.8%
ValueCountFrequency (%)
0 52912
75.6%
1 1362
 
1.9%
2 665
 
0.9%
3 432
 
0.6%
4 242
 
0.3%
ValueCountFrequency (%)
255 7
< 0.1%
254 1
 
< 0.1%
253 3
< 0.1%
250 2
 
< 0.1%
249 1
 
< 0.1%

762
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.09155714
Minimum0
Maximum255
Zeros52650
Zeros (%)75.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:37.463955image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile146
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation48.20924338
Coefficient of variation (CV)2.285712859
Kurtosis4.758486205
Mean21.09155714
Median Absolute Deviation (MAD)0
Skewness2.383063364
Sum1476409
Variance2324.131148
MonotonicityNot monotonic
2025-03-23T12:52:37.604591image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 52650
75.2%
1 952
 
1.4%
2 520
 
0.7%
3 292
 
0.4%
4 194
 
0.3%
5 152
 
0.2%
6 117
 
0.2%
25 113
 
0.2%
8 110
 
0.2%
11 110
 
0.2%
Other values (246) 14790
 
21.1%
ValueCountFrequency (%)
0 52650
75.2%
1 952
 
1.4%
2 520
 
0.7%
3 292
 
0.4%
4 194
 
0.3%
ValueCountFrequency (%)
255 7
< 0.1%
254 1
 
< 0.1%
253 1
 
< 0.1%
252 2
 
< 0.1%
251 2
 
< 0.1%

763
Real number (ℝ)

Zeros 

Distinct249
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.11594286
Minimum0
Maximum255
Zeros53581
Zeros (%)76.5%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:37.745187image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile124
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation42.15884187
Coefficient of variation (CV)2.463132895
Kurtosis7.253500453
Mean17.11594286
Median Absolute Deviation (MAD)0
Skewness2.772963574
Sum1198116
Variance1777.367948
MonotonicityNot monotonic
2025-03-23T12:52:37.885772image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53581
76.5%
1 810
 
1.2%
2 450
 
0.6%
3 294
 
0.4%
4 214
 
0.3%
5 186
 
0.3%
6 153
 
0.2%
8 152
 
0.2%
10 143
 
0.2%
9 138
 
0.2%
Other values (239) 13879
 
19.8%
ValueCountFrequency (%)
0 53581
76.5%
1 810
 
1.2%
2 450
 
0.6%
3 294
 
0.4%
4 214
 
0.3%
ValueCountFrequency (%)
255 6
< 0.1%
254 2
 
< 0.1%
251 1
 
< 0.1%
249 1
 
< 0.1%
247 3
< 0.1%

764
Real number (ℝ)

Zeros 

Distinct251
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.15554286
Minimum0
Maximum255
Zeros50517
Zeros (%)72.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:38.026327image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile144
Maximum255
Range255
Interquartile range (IQR)3

Descriptive statistics

Standard deviation48.33347
Coefficient of variation (CV)2.181552053
Kurtosis4.399327306
Mean22.15554286
Median Absolute Deviation (MAD)0
Skewness2.295087511
Sum1550888
Variance2336.124322
MonotonicityNot monotonic
2025-03-23T12:52:38.166955image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 50517
72.2%
1 1170
 
1.7%
2 759
 
1.1%
3 440
 
0.6%
4 273
 
0.4%
5 214
 
0.3%
6 150
 
0.2%
17 127
 
0.2%
11 125
 
0.2%
40 122
 
0.2%
Other values (241) 16103
 
23.0%
ValueCountFrequency (%)
0 50517
72.2%
1 1170
 
1.7%
2 759
 
1.1%
3 440
 
0.6%
4 273
 
0.4%
ValueCountFrequency (%)
255 6
< 0.1%
254 1
 
< 0.1%
248 2
 
< 0.1%
247 2
 
< 0.1%
246 4
< 0.1%

765
Real number (ℝ)

Zeros 

Distinct254
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.60244286
Minimum0
Maximum255
Zeros43517
Zeros (%)62.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:38.291931image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q342
95-th percentile162
Maximum255
Range255
Interquartile range (IQR)42

Descriptive statistics

Standard deviation55.0349658
Coefficient of variation (CV)1.798384726
Kurtosis2.053963866
Mean30.60244286
Median Absolute Deviation (MAD)0
Skewness1.770831754
Sum2142171
Variance3028.84746
MonotonicityNot monotonic
2025-03-23T12:52:38.432518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43517
62.2%
1 1801
 
2.6%
2 1060
 
1.5%
3 739
 
1.1%
4 444
 
0.6%
5 264
 
0.4%
6 178
 
0.3%
61 161
 
0.2%
51 155
 
0.2%
85 154
 
0.2%
Other values (244) 21527
30.8%
ValueCountFrequency (%)
0 43517
62.2%
1 1801
 
2.6%
2 1060
 
1.5%
3 739
 
1.1%
4 444
 
0.6%
ValueCountFrequency (%)
255 3
< 0.1%
253 1
 
< 0.1%
252 2
< 0.1%
251 3
< 0.1%
249 2
< 0.1%

766
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.84631429
Minimum0
Maximum255
Zeros39011
Zeros (%)55.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:38.573110image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q381
95-th percentile177
Maximum255
Range255
Interquartile range (IQR)81

Descriptive statistics

Standard deviation62.13769729
Coefficient of variation (CV)1.484902514
Kurtosis0.3853604798
Mean41.84631429
Median Absolute Deviation (MAD)0
Skewness1.281615149
Sum2929242
Variance3861.093425
MonotonicityNot monotonic
2025-03-23T12:52:38.713701image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 39011
55.7%
1 1005
 
1.4%
2 767
 
1.1%
3 488
 
0.7%
4 254
 
0.4%
85 204
 
0.3%
107 199
 
0.3%
94 199
 
0.3%
106 198
 
0.3%
119 195
 
0.3%
Other values (246) 27480
39.3%
ValueCountFrequency (%)
0 39011
55.7%
1 1005
 
1.4%
2 767
 
1.1%
3 488
 
0.7%
4 254
 
0.4%
ValueCountFrequency (%)
255 7
< 0.1%
254 4
< 0.1%
253 1
 
< 0.1%
252 3
< 0.1%
251 1
 
< 0.1%

767
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.62482857
Minimum0
Maximum255
Zeros36301
Zeros (%)51.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:38.854295image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3106
95-th percentile189
Maximum255
Range255
Interquartile range (IQR)106

Descriptive statistics

Standard deviation68.52382117
Coefficient of variation (CV)1.327342348
Kurtosis-0.4070012995
Mean51.62482857
Median Absolute Deviation (MAD)0
Skewness0.9858218813
Sum3613738
Variance4695.514068
MonotonicityNot monotonic
2025-03-23T12:52:38.994888image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36301
51.9%
1 768
 
1.1%
2 688
 
1.0%
3 445
 
0.6%
126 231
 
0.3%
4 222
 
0.3%
113 222
 
0.3%
124 219
 
0.3%
85 217
 
0.3%
133 217
 
0.3%
Other values (246) 30470
43.5%
ValueCountFrequency (%)
0 36301
51.9%
1 768
 
1.1%
2 688
 
1.0%
3 445
 
0.6%
4 222
 
0.3%
ValueCountFrequency (%)
255 22
< 0.1%
254 5
 
< 0.1%
253 5
 
< 0.1%
252 3
 
< 0.1%
251 3
 
< 0.1%

768
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.62338571
Minimum0
Maximum255
Zeros36412
Zeros (%)52.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:39.119858image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3108
95-th percentile193
Maximum255
Range255
Interquartile range (IQR)108

Descriptive statistics

Standard deviation69.81396568
Coefficient of variation (CV)1.326671873
Kurtosis-0.445774047
Mean52.62338571
Median Absolute Deviation (MAD)0
Skewness0.9751144038
Sum3683637
Variance4873.989804
MonotonicityNot monotonic
2025-03-23T12:52:39.260412image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36412
52.0%
1 724
 
1.0%
2 649
 
0.9%
3 504
 
0.7%
123 225
 
0.3%
128 224
 
0.3%
121 222
 
0.3%
122 215
 
0.3%
107 212
 
0.3%
103 208
 
0.3%
Other values (246) 30405
43.4%
ValueCountFrequency (%)
0 36412
52.0%
1 724
 
1.0%
2 649
 
0.9%
3 504
 
0.7%
4 207
 
0.3%
ValueCountFrequency (%)
255 28
< 0.1%
254 5
 
< 0.1%
253 3
 
< 0.1%
252 6
 
< 0.1%
251 2
 
< 0.1%

769
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.39408571
Minimum0
Maximum255
Zeros39349
Zeros (%)56.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:39.401043image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q394
95-th percentile190
Maximum255
Range255
Interquartile range (IQR)94

Descriptive statistics

Standard deviation67.44139711
Coefficient of variation (CV)1.453663674
Kurtosis0.0246202041
Mean46.39408571
Median Absolute Deviation (MAD)0
Skewness1.177137894
Sum3247586
Variance4548.342044
MonotonicityNot monotonic
2025-03-23T12:52:39.526018image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 39349
56.2%
1 822
 
1.2%
2 698
 
1.0%
3 493
 
0.7%
4 244
 
0.3%
138 197
 
0.3%
128 195
 
0.3%
134 192
 
0.3%
102 192
 
0.3%
106 192
 
0.3%
Other values (246) 27426
39.2%
ValueCountFrequency (%)
0 39349
56.2%
1 822
 
1.2%
2 698
 
1.0%
3 493
 
0.7%
4 244
 
0.3%
ValueCountFrequency (%)
255 17
< 0.1%
254 4
 
< 0.1%
253 5
 
< 0.1%
252 7
< 0.1%
251 3
 
< 0.1%

770
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.57777143
Minimum0
Maximum255
Zeros41917
Zeros (%)59.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:39.666602image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q384
95-th percentile187
Maximum255
Range255
Interquartile range (IQR)84

Descriptive statistics

Standard deviation66.29034373
Coefficient of variation (CV)1.556923754
Kurtosis0.3373794803
Mean42.57777143
Median Absolute Deviation (MAD)0
Skewness1.307020652
Sum2980444
Variance4394.409672
MonotonicityNot monotonic
2025-03-23T12:52:39.807199image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 41917
59.9%
1 889
 
1.3%
2 773
 
1.1%
3 528
 
0.8%
4 238
 
0.3%
136 191
 
0.3%
138 179
 
0.3%
140 172
 
0.2%
126 171
 
0.2%
102 171
 
0.2%
Other values (246) 24771
35.4%
ValueCountFrequency (%)
0 41917
59.9%
1 889
 
1.3%
2 773
 
1.1%
3 528
 
0.8%
4 238
 
0.3%
ValueCountFrequency (%)
255 18
< 0.1%
254 5
 
< 0.1%
253 5
 
< 0.1%
252 3
 
< 0.1%
251 4
 
< 0.1%

771
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.30247143
Minimum0
Maximum255
Zeros39779
Zeros (%)56.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:40.307080image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q391
95-th percentile189
Maximum255
Range255
Interquartile range (IQR)91

Descriptive statistics

Standard deviation66.82563692
Coefficient of variation (CV)1.475099146
Kurtosis0.1150823858
Mean45.30247143
Median Absolute Deviation (MAD)0
Skewness1.211513546
Sum3171173
Variance4465.665749
MonotonicityNot monotonic
2025-03-23T12:52:40.447668image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 39779
56.8%
1 831
 
1.2%
2 746
 
1.1%
3 480
 
0.7%
4 247
 
0.4%
128 199
 
0.3%
116 189
 
0.3%
106 187
 
0.3%
126 185
 
0.3%
85 183
 
0.3%
Other values (246) 26974
38.5%
ValueCountFrequency (%)
0 39779
56.8%
1 831
 
1.2%
2 746
 
1.1%
3 480
 
0.7%
4 247
 
0.4%
ValueCountFrequency (%)
255 27
< 0.1%
254 4
 
< 0.1%
253 3
 
< 0.1%
252 2
 
< 0.1%
251 6
 
< 0.1%

772
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.15494286
Minimum0
Maximum255
Zeros37562
Zeros (%)53.7%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:40.572644image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3104
95-th percentile190
Maximum255
Range255
Interquartile range (IQR)104

Descriptive statistics

Standard deviation68.73871923
Coefficient of variation (CV)1.370527316
Kurtosis-0.3302159002
Mean50.15494286
Median Absolute Deviation (MAD)0
Skewness1.033898304
Sum3510846
Variance4725.011521
MonotonicityNot monotonic
2025-03-23T12:52:40.713231image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37562
53.7%
1 859
 
1.2%
2 737
 
1.1%
3 491
 
0.7%
4 246
 
0.4%
132 220
 
0.3%
105 215
 
0.3%
118 211
 
0.3%
128 209
 
0.3%
126 208
 
0.3%
Other values (246) 29042
41.5%
ValueCountFrequency (%)
0 37562
53.7%
1 859
 
1.2%
2 737
 
1.1%
3 491
 
0.7%
4 246
 
0.4%
ValueCountFrequency (%)
255 17
< 0.1%
254 8
< 0.1%
253 5
 
< 0.1%
252 3
 
< 0.1%
251 3
 
< 0.1%

773
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.42444286
Minimum0
Maximum255
Zeros37986
Zeros (%)54.3%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:40.838205image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q393
95-th percentile185
Maximum255
Range255
Interquartile range (IQR)93

Descriptive statistics

Standard deviation66.06061139
Coefficient of variation (CV)1.422970472
Kurtosis-0.02812762611
Mean46.42444286
Median Absolute Deviation (MAD)0
Skewness1.146310685
Sum3249711
Variance4364.004377
MonotonicityNot monotonic
2025-03-23T12:52:40.978794image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37986
54.3%
1 1028
 
1.5%
2 820
 
1.2%
3 575
 
0.8%
4 251
 
0.4%
114 200
 
0.3%
116 199
 
0.3%
118 199
 
0.3%
117 199
 
0.3%
96 195
 
0.3%
Other values (245) 28348
40.5%
ValueCountFrequency (%)
0 37986
54.3%
1 1028
 
1.5%
2 820
 
1.2%
3 575
 
0.8%
4 251
 
0.4%
ValueCountFrequency (%)
255 16
< 0.1%
253 7
< 0.1%
252 3
 
< 0.1%
251 5
 
< 0.1%
250 4
 
< 0.1%

774
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.58231429
Minimum0
Maximum255
Zeros41467
Zeros (%)59.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:41.103771image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q357
95-th percentile167
Maximum255
Range255
Interquartile range (IQR)57

Descriptive statistics

Standard deviation57.58461199
Coefficient of variation (CV)1.66514628
Kurtosis1.325696014
Mean34.58231429
Median Absolute Deviation (MAD)0
Skewness1.575291128
Sum2420762
Variance3315.987538
MonotonicityNot monotonic
2025-03-23T12:52:41.244319image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 41467
59.2%
1 1440
 
2.1%
2 1061
 
1.5%
3 653
 
0.9%
4 389
 
0.6%
5 218
 
0.3%
57 178
 
0.3%
55 174
 
0.2%
90 169
 
0.2%
51 165
 
0.2%
Other values (246) 24086
34.4%
ValueCountFrequency (%)
0 41467
59.2%
1 1440
 
2.1%
2 1061
 
1.5%
3 653
 
0.9%
4 389
 
0.6%
ValueCountFrequency (%)
255 7
< 0.1%
254 3
< 0.1%
253 2
 
< 0.1%
252 2
 
< 0.1%
251 2
 
< 0.1%

775
Real number (ℝ)

Zeros 

Distinct254
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.28864286
Minimum0
Maximum255
Zeros48162
Zeros (%)68.8%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:41.369331image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38
95-th percentile146
Maximum255
Range255
Interquartile range (IQR)8

Descriptive statistics

Standard deviation48.93528841
Coefficient of variation (CV)2.101251185
Kurtosis4.029135653
Mean23.28864286
Median Absolute Deviation (MAD)0
Skewness2.215786479
Sum1630205
Variance2394.662452
MonotonicityNot monotonic
2025-03-23T12:52:41.509921image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 48162
68.8%
1 1610
 
2.3%
2 1004
 
1.4%
3 584
 
0.8%
4 436
 
0.6%
5 262
 
0.4%
6 164
 
0.2%
7 162
 
0.2%
11 149
 
0.2%
19 141
 
0.2%
Other values (244) 17326
 
24.8%
ValueCountFrequency (%)
0 48162
68.8%
1 1610
 
2.3%
2 1004
 
1.4%
3 584
 
0.8%
4 436
 
0.6%
ValueCountFrequency (%)
255 7
< 0.1%
254 1
 
< 0.1%
252 2
 
< 0.1%
251 3
< 0.1%
250 4
< 0.1%

776
Real number (ℝ)

Zeros 

Distinct252
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.6116
Minimum0
Maximum255
Zeros54343
Zeros (%)77.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:41.634887image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile125
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation42.07504596
Coefficient of variation (CV)2.532871365
Kurtosis7.461562378
Mean16.6116
Median Absolute Deviation (MAD)0
Skewness2.822109251
Sum1162812
Variance1770.309493
MonotonicityNot monotonic
2025-03-23T12:52:41.775483image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54343
77.6%
1 803
 
1.1%
2 513
 
0.7%
3 332
 
0.5%
4 229
 
0.3%
5 174
 
0.2%
6 146
 
0.2%
7 137
 
0.2%
12 136
 
0.2%
17 135
 
0.2%
Other values (242) 13052
 
18.6%
ValueCountFrequency (%)
0 54343
77.6%
1 803
 
1.1%
2 513
 
0.7%
3 332
 
0.5%
4 229
 
0.3%
ValueCountFrequency (%)
255 5
< 0.1%
254 3
< 0.1%
253 1
 
< 0.1%
251 2
 
< 0.1%
250 1
 
< 0.1%

777
Real number (ℝ)

Zeros 

Distinct255
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.82337143
Minimum0
Maximum255
Zeros53642
Zeros (%)76.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:41.916071image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile132
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation43.90160647
Coefficient of variation (CV)2.463148268
Kurtosis6.683647589
Mean17.82337143
Median Absolute Deviation (MAD)0
Skewness2.704801322
Sum1247636
Variance1927.35105
MonotonicityNot monotonic
2025-03-23T12:52:42.056627image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53642
76.6%
1 873
 
1.2%
2 498
 
0.7%
3 350
 
0.5%
4 227
 
0.3%
5 186
 
0.3%
6 154
 
0.2%
7 153
 
0.2%
9 140
 
0.2%
10 131
 
0.2%
Other values (245) 13646
 
19.5%
ValueCountFrequency (%)
0 53642
76.6%
1 873
 
1.2%
2 498
 
0.7%
3 350
 
0.5%
4 227
 
0.3%
ValueCountFrequency (%)
255 7
< 0.1%
254 3
< 0.1%
252 2
 
< 0.1%
251 1
 
< 0.1%
250 1
 
< 0.1%

778
Real number (ℝ)

Zeros 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.88798571
Minimum0
Maximum255
Zeros52530
Zeros (%)75.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:42.197256image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile157
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation51.85319186
Coefficient of variation (CV)2.265520108
Kurtosis4.001332337
Mean22.88798571
Median Absolute Deviation (MAD)0
Skewness2.265182069
Sum1602159
Variance2688.753506
MonotonicityNot monotonic
2025-03-23T12:52:42.353476image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 52530
75.0%
1 1245
 
1.8%
2 652
 
0.9%
3 387
 
0.6%
4 264
 
0.4%
5 173
 
0.2%
6 111
 
0.2%
145 100
 
0.1%
119 99
 
0.1%
143 98
 
0.1%
Other values (246) 14341
 
20.5%
ValueCountFrequency (%)
0 52530
75.0%
1 1245
 
1.8%
2 652
 
0.9%
3 387
 
0.6%
4 264
 
0.4%
ValueCountFrequency (%)
255 8
< 0.1%
254 3
 
< 0.1%
253 1
 
< 0.1%
252 1
 
< 0.1%
251 2
 
< 0.1%

779
Real number (ℝ)

Zeros 

Distinct254
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.96812857
Minimum0
Maximum255
Zeros54012
Zeros (%)77.2%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:42.478440image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile136
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation45.23160112
Coefficient of variation (CV)2.517323991
Kurtosis6.517718546
Mean17.96812857
Median Absolute Deviation (MAD)0
Skewness2.697003243
Sum1257769
Variance2045.89774
MonotonicityNot monotonic
2025-03-23T12:52:42.619036image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54012
77.2%
1 1510
 
2.2%
2 751
 
1.1%
3 480
 
0.7%
4 261
 
0.4%
5 164
 
0.2%
53 102
 
0.1%
58 101
 
0.1%
6 95
 
0.1%
46 92
 
0.1%
Other values (244) 12432
 
17.8%
ValueCountFrequency (%)
0 54012
77.2%
1 1510
 
2.2%
2 751
 
1.1%
3 480
 
0.7%
4 261
 
0.4%
ValueCountFrequency (%)
255 6
< 0.1%
254 1
 
< 0.1%
253 1
 
< 0.1%
251 1
 
< 0.1%
250 1
 
< 0.1%

780
Real number (ℝ)

Zeros 

Distinct248
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.524042857
Minimum0
Maximum255
Zeros60145
Zeros (%)85.9%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:42.759623image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile69
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation29.52790047
Coefficient of variation (CV)3.464072268
Kurtosis19.3579935
Mean8.524042857
Median Absolute Deviation (MAD)0
Skewness4.239653034
Sum596683
Variance871.8969062
MonotonicityNot monotonic
2025-03-23T12:52:42.900220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60145
85.9%
1 886
 
1.3%
2 425
 
0.6%
3 252
 
0.4%
4 169
 
0.2%
5 111
 
0.2%
6 93
 
0.1%
7 91
 
0.1%
21 90
 
0.1%
51 87
 
0.1%
Other values (238) 7651
 
10.9%
ValueCountFrequency (%)
0 60145
85.9%
1 886
 
1.3%
2 425
 
0.6%
3 252
 
0.4%
4 169
 
0.2%
ValueCountFrequency (%)
255 2
< 0.1%
252 1
< 0.1%
250 1
< 0.1%
248 2
< 0.1%
244 1
< 0.1%

781
Real number (ℝ)

Zeros 

Distinct234
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7514
Minimum0
Maximum255
Zeros66589
Zeros (%)95.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:43.040818image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.3857701
Coefficient of variation (CV)6.318881332
Kurtosis70.69334799
Mean2.7514
Median Absolute Deviation (MAD)0
Skewness7.938465071
Sum192598
Variance302.2650018
MonotonicityNot monotonic
2025-03-23T12:52:43.197019image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66589
95.1%
1 405
 
0.6%
2 178
 
0.3%
3 90
 
0.1%
4 67
 
0.1%
5 47
 
0.1%
9 39
 
0.1%
13 38
 
0.1%
6 38
 
0.1%
18 36
 
0.1%
Other values (224) 2473
 
3.5%
ValueCountFrequency (%)
0 66589
95.1%
1 405
 
0.6%
2 178
 
0.3%
3 90
 
0.1%
4 67
 
0.1%
ValueCountFrequency (%)
255 2
< 0.1%
253 1
< 0.1%
251 2
< 0.1%
248 1
< 0.1%
239 1
< 0.1%

782
Real number (ℝ)

Zeros 

Distinct187
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8365285714
Minimum0
Maximum255
Zeros68702
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:43.337615image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum255
Range255
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.258426367
Coefficient of variation (CV)11.06767501
Kurtosis244.0637811
Mean0.8365285714
Median Absolute Deviation (MAD)0
Skewness14.51289665
Sum58557
Variance85.71845878
MonotonicityNot monotonic
2025-03-23T12:52:43.478205image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68702
98.1%
1 187
 
0.3%
2 100
 
0.1%
3 52
 
0.1%
4 31
 
< 0.1%
6 29
 
< 0.1%
5 25
 
< 0.1%
8 20
 
< 0.1%
10 18
 
< 0.1%
39 15
 
< 0.1%
Other values (177) 821
 
1.2%
ValueCountFrequency (%)
0 68702
98.1%
1 187
 
0.3%
2 100
 
0.1%
3 52
 
0.1%
4 31
 
< 0.1%
ValueCountFrequency (%)
255 3
< 0.1%
236 1
 
< 0.1%
233 1
 
< 0.1%
220 1
 
< 0.1%
214 2
< 0.1%

783
Real number (ℝ)

Skewed  Zeros 

Distinct73
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07291428571
Minimum0
Maximum170
Zeros69734
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:43.618800image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum170
Range170
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.12992415
Coefficient of variation (CV)29.21134219
Kurtosis2376.49582
Mean0.07291428571
Median Absolute Deviation (MAD)0
Skewness43.58545173
Sum5104
Variance4.536576887
MonotonicityNot monotonic
2025-03-23T12:52:43.759386image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69734
99.6%
1 81
 
0.1%
2 27
 
< 0.1%
3 18
 
< 0.1%
5 8
 
< 0.1%
6 7
 
< 0.1%
4 6
 
< 0.1%
17 4
 
< 0.1%
38 4
 
< 0.1%
8 4
 
< 0.1%
Other values (63) 107
 
0.2%
ValueCountFrequency (%)
0 69734
99.6%
1 81
 
0.1%
2 27
 
< 0.1%
3 18
 
< 0.1%
4 6
 
< 0.1%
ValueCountFrequency (%)
170 1
< 0.1%
163 1
< 0.1%
142 1
< 0.1%
130 1
< 0.1%
122 1
< 0.1%

label
Real number (ℝ)

Zeros 

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5
Minimum0
Maximum9
Zeros7000
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size68.5 KiB
2025-03-23T12:52:43.868699image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4.5
Q37
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.87230184
Coefficient of variation (CV)0.6382892977
Kurtosis-1.224244155
Mean4.5
Median Absolute Deviation (MAD)2.5
Skewness0
Sum315000
Variance8.250117859
MonotonicityNot monotonic
2025-03-23T12:52:43.962471image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
9 7000
10.0%
0 7000
10.0%
3 7000
10.0%
2 7000
10.0%
7 7000
10.0%
5 7000
10.0%
1 7000
10.0%
6 7000
10.0%
4 7000
10.0%
8 7000
10.0%
ValueCountFrequency (%)
0 7000
10.0%
1 7000
10.0%
2 7000
10.0%
3 7000
10.0%
4 7000
10.0%
ValueCountFrequency (%)
9 7000
10.0%
8 7000
10.0%
7 7000
10.0%
6 7000
10.0%
5 7000
10.0%